37 jobs found

Client-facing R&D Generative AI Architect Job Info Job Identification 11937 Posting Date 03/26/2026, 11:20 AM Job Role AI Engineer-AI Solutions Architect Experience (In Years) 6-9 Job Location London Job Description EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Role Title: Client-facing R&D Generative AI Architect BU/Segment: Digital Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent Reporting to: Chief AI Architect in NYC, US East Cost time zone Summary of the role We are seeking a visionary and technically adept Assistant Vice President (AVP) in EXL's AI Innovation & R&D team to spearhead our innovative client-facing initiatives in the rapidly evolving fields of Generative and Agentic AI. This high-impact, senior consulting role requires a unique blend of deep technical expertise in AI solutioning and deployment, Fortune 500 client stakeholder management skills, and the ability to drive thought leadership. You will be instrumental in advising Insurance, Healthcare, and Banking clients, designing cutting-edge AI solutions, leading complex implementations, and shaping EXL's strategy and market presence in Generative and Agentic AI. You will collaborate closely with data science, technology, business development, and client teams to identify opportunities, architect robust solutions, and deliver transformative results. As part of your duties, you will be responsible for: AI Architecture Innovation Research & Design: Our mantra is Innovation at Speed. Focus on new innovative methods of designing and architecting AI and GenAI systems and be able to grasp and adapt monthly and weekly AI innovation coming out in the industry and apply it to our clients' use cases and needs in new modern ways. Client Advisory & Solutioning: Engage directly with senior client stakeholders (including C-suite) to understand complex business challenges, identify opportunities for GenAI and Agentic AI, and define project scope. Workshop Facilitation: Design, lead, and facilitate high-impact client workshops and strategy sessions focused on identifying and prioritizing Generative and Agentic AI use cases and roadmap development. Technical Leadership & Architecture: Design, architect, and oversee the development and deployment of scalable, robust, and cutting-edge Generative AI and sophisticated Agentic AI systems (including multi-agent workflows) for client and internal projects. Project & Engagement Leadership: Lead large-scale, complex Generative AI and Agentic AI projects from strategic conception through successful deployment, managing cross-functional teams (internal and client-side) and ensuring timely delivery of high-quality solutions. Technical Mentorship: Mentor and guide technical teams (data scientists, data and AI engineers) in best practices for advanced AI development, deployment, MLOps/LLMOps, and agentic system design. Stakeholder Management: Build and maintain strong relationships with key internal and external stakeholders, effectively communicating complex technical concepts and project progress. Quality & Best Practices: Ensure adherence to rigorous software engineering principles, Agile methodologies, and responsible AI practices throughout the solution lifecycle. Stay Current: Maintain deep expertise in the latest trends, research, tools, and technologies within Generative AI, Large Language Models (LLMs), and Agentic AI paradigms. Qualifications and experience we consider to be essential for the role: Programming & Libraries: Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). AI-driven SDLC: Claude Code, Codex. Experience using Cursor, Windsurf, Replit, and Github Copilot. Google Stitch. LLM Expertise: Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine-tuning, and evaluation. GenAI & Agentic Frameworks: Hands on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex, Langfuse) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph, OpenClaw, NemoClaw, agent planning, tool use integration, multi agent collaboration). AI Architecture: Deep understanding of AI/ML system architecture patterns, including microservices, event driven architectures, and patterns specific to RAG (Retrieval Augmented Generation), Graph RAG, Agentic RAG, and multi agent systems. Data: Knowledge of industry approaches to data engines and data labeling like Scale.ai and Mercor. Experience with auto data-labeling and synthetic data generation techniques. Vector Databases & Embeddings: Expertise in working with various embedding models and vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS). Advanced AI Concepts: Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for complex AI systems. Software Engineering: Strong foundation in software engineering principles for building scalable, maintainable, and production ready AI systems. Cloud Platforms: Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. LLMOps/MLOps: Expertise in designing and implementing robust MLOps/LLMOps pipelines for automated testing, CI/CD, monitoring, and governance of complex AI models and applications. Leadership & Communication Proven ability to lead and motivate diverse, global teams Excellent communication skills, capable of explaining complex AI concepts to various stakeholders Strong project and program management skills and experience working in Agile environments Qualifications Education: Bachelor's degree in Computer Science, AI, Machine Learning, or a related quantitative field. Master's or Ph.D. strongly preferred. Experience: Minimum 10 years of experience in AI/ML/Data Science, with at least 5 years in significant leadership roles involving solution architecture, team management, and project delivery. Deployment Success: Demonstrated track record of successfully architecting and deploying large-scale AI projects, preferably including complex GenAI and/or Agentic AI applications in enterprise or client settings. Consulting Background: Prior experience in technology consulting or a client facing technical specialist role within a technology provider is highly advantageous. Global Experience: Experience working effectively with global teams across multiple geographic locations is a plus. As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.

Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Software Engineer III- Applied AI at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations. Job Responsibilities Development of advanced machine learning models to address complex operational challenges. Evaluating and communicating the impact brought by proposed solutions. Architect and oversee the deployment of generative AI applications and agents to automate and enhance business processes. Collaborate with senior stakeholders to understand strategic business needs and translate them into comprehensive technical solutions. Analyze large datasets to extract actionable insights and support data-driven decision-making at a strategic level. Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability. Stay informed about the latest advancements in AI/ML technologies and drive their integration into our operations. Mentor and guide junior team members, fostering a culture of innovation and continuous learning. Required Qualifications, Capabilities, And Skills Advanced degree in a STEM field (Degree in Computer Science or Software Engineering), with experience in AI/ML. Proven track record of AI/ML model development and deployment of AI/ML applications in a production environment, with expertise in deploying models on AWS platforms. Deep familiarity with MLOps practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models. Expertise in machine learning frameworks such as TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn. Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing. Extensive experience with generative AI models, mainly as cloud service APIs (e.g., OpenAI). Experience with integrating user feedback to establish self-improving AI applications. Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (AWS). Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. Preferred Qualifications, Capabilities, And Skills A Ph.D. is a plus but not required. Experience in software engineering practices. Experience in developing AI solutions using agentic frameworks. Experience fine-tuning LLMs with advanced techniques. Experience with prompt optimisation to enhance the performance and effectiveness of prompt engineering. Demonstrated ability to design and implement AI application architecture. Significant experience in bringing AI applications to production with a focus on strategic impact and innovation.

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team The Advanced Development team at Roku pushes beyond today's product lines to invent the next generation of intelligent and generative media systems. We explore ideas that sit years ahead of production, developing foundational technologies that will redefine how content is understood, created, and personalised across millions of Roku devices. This is a rare environment - a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps. Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision - people who challenge convention, embrace ambiguity, and build what's never been built before. It's a collaborative, low-ego, ownership-driven culture built on trust and curiosity. We're seeking an Applied Scientist with a strong foundation in mathematics, machine learning, and computer science, combined with experience in cloud engineering, DevOps, and computer vision - someone who thrives where research meets production. About the Role As a Senior Applied Machine Learning Engineer, you'll help design, build, and deploy the systems that make media smarter. You'll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence. You'll operate at the intersection of machine learning, infrastructure, and software engineering, taking ownership from data collection through deployment - and seeing your work directly influence how audiences experience Roku's content and advertising ecosystem. What You'll Be Doing Deploying scalable, fault-tolerant computer vision, media understanding, and generative AI systems to production Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations Designing uncertainty metrics and communicating results to both technical and non-technical stakeholders Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising Working closely with product and other engineering teams to implement new content and advertising experiences through cloud services Integrating services from other teams around the company, while also providing reusable ML services to others Evaluating and providing feedback on new platform technologies provided by internal teams Working with QA teams to address bugs and contribute to automation and quality assurance We're Excited If You Have A Master's degree (PhD preferred) in Computer Science, Applied Mathematics, or a related field Strong background developing applied machine learning systems using PyTorch or TensorFlow Expertise in image processing, computer vision, or natural language processing Experience using AWS, GCP, or Azure for storing data, training, and serving models Proven ability to evaluate models and communicate insights effectively Experience building APIs with frameworks such as GraphQL or REST Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow Hands-on experience with Docker, Kubernetes, Terraform, CloudFormation, CI/CD automation, and Python build or packaging tools Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .

About the job Great Yellow makes landscape regeneration investable and scalable. We envision a future where regenerative land use is the norm, delivering measurable environmental recovery, resilient food systems, and long term economic value. Great Yellow exists to create a clear, practical pathway to making this future a reality. Today, the way we use and manage land is pushing natural and economic systems to a breaking point. Fragile food supply chains, degraded ecosystems, rising climate risk and failing infrastructure are driving real and growing costs for communities and the economy. By rethinking how we work with land and value nature, we can create landscapes that provide clean water, abundant nature, stable production, and long term security. Great Yellow works to drive this transformation, moving beyond extractive models to unlock economic and ecological regeneration. We work with: Land Managers of ambitious nature recovery projects to plan and deliver ambitious, landscape scale transformation Project Investors seeking opportunities to generate robust, risk adjusted returns alongside verified environmental impact Buyers of ecosystem services seeking high integrity, high impact natural capital solutions to strengthen resilience and reduce nature related risks And many other partners and specialists in the restoration journey Role Overview Sustainability Data Analytics Engineers are a new kind of role at Great Yellow: part data engineer, part climate analyst, part investment modeller. You'll sit at the intersection of our nature restoration projects and our investor clients, doing the hands on, technical work of turning large, complex environmental datasets into the models that drive real investment decisions. This is a deliberately senior position. We're building a data capability that pulls information from across our projects - fire risk, water quality, spatial ecology, biodiversity metrics, ESG indicators - aggregates it in our own systems, and synthesises it into a clear picture that Great Yellow and our clients can act on. You'll shape how that data is accessed, stored, structured, and ultimately used. Concretely, you'll work with large scale environmental and geospatial datasets, overlaying and cross referencing them to surface insight - mapping ecological data against fire risk layers to identify what reduces exposure, combining spatial and financial data to support an investor's due diligence, building the analytical models that turn raw data into confident capital allocation. You'll look at what data works and what doesn't, and paint the picture that helps our clients invest. Working closely alongside our Data Analyst, you'll collaborate with product and commercial teams and help shape the data products that will drive Great Yellow's next phase of growth. About you You write SQL fluently - complex queries, optimisation, working across large and messy datasets. This is a daily tool, not an occasional one. You're able to write SQL, analyse data sets, and use them in models. Python: you're comfortable using it for data manipulation, pipeline development, and analysis (Pandas, NumPy, or similar). You build things, not just analyse them. Experience with data analytics platforms like Power BI, Tableau, or equivalent - building dashboards and reports, not just viewing them. Working knowledge of cloud data platforms (AWS, Google Cloud - BigQuery, Redshift, S3, or similar) for storage, processing, and analytics at scale. Fluent with spatial and geospatial data: coordinate systems, spatial joins, map based analysis. You know your way around a spatial dataset. You've done heavy data analytics: aggregating, transforming, and deriving insight from high volume, multi source datasets. This isn't a reporting role. You can take data from multiple domains - ecology, finance, climate risk - and bring them together into coherent, unified analytical outputs. This person will shape the data. You know how to shape raw data into well structured models and maintain data dictionaries that keep everything consistent and traceable. You understand general ESG data frameworks and can adapt to ecology, biodiversity, and climate specific datasets. You don't need to be an ecologist, but you need to be comfortable in that world. You could be a climate scientist, an environmental data specialist, or a data engineer who's spent time in sustainability - what matters is that you can understand the data and know what to do with it. You can hold your own in a room with an ecologist and a finance analyst alike. This is a senior role. You're comfortable operating independently, making data architecture decisions, and communicating findings to both technical and commercial stakeholders. You have a product mindset - you see beyond analysis and think about how data capabilities can be productised and drive revenue. You're able to influence future product direction. You're energised by ambiguity. We're building something new, and the shape of this role will evolve as we grow. Nice to Have GIS experience: proficiency with GIS tools (QGIS, ArcGIS, or equivalent) for advanced spatial analysis and mapping. True ecology data experience: direct work with ecological survey data, habitat condition assessments, species monitoring, or biodiversity net gain (BNG) metrics. Academic or professional background in climate science or environmental modelling. Experience with Great Yellow's internal tools and platforms (details available on request). Ability to productise - a revenue mindset that can help turn Great Yellow's data capabilities into scalable products. Benefits Our culture is built on three principles: All for the Hive (shared leadership and collaboration), Shameless Ambition (raise the bar, speak directly), and Design the Future (think big, learn by doing, own it). Be part of an innovative scale up that's breaking new ground in finance and nature restoration - making landscape regeneration investable and scalable. Engage in meaningful work with the potential to make a lasting impact on the planet. Work alongside a passionate and diverse team in an environment that values flexibility, collaboration, autonomy, and growth. We're big believers in flexibility - work where you do your best thinking - but we also value getting together in our office to share ideas (and tea/coffee).

Role Overview Accenture is looking for an exceptional Network Security Lead to join the Network Infrastructure Engineering practice. This senior individual contributor and client leading role requires deep enterprise network security expertise combined with commercial instinct and communication skills to win trust at the highest levels of a client organisation. You will be the go to security authority within the network practice - the person clients call when they need to modernise their security architecture, navigate a compliance challenge, or respond to an evolving threat landscape. You will own relationships with a portfolio of blue chip enterprise clients, guiding them toward Zero Trust, SASE, and SSE adoption while shaping and delivering the work that follows. Key Responsibilities Client Relationship & Advisory Own and develop trusted senior relationships across a portfolio of blue chip enterprise clients, acting as their primary network security advisor within Accenture. Advise clients at the CISO, CTO and VP Infrastructure level on network security strategy, architecture modernisation and risk posture improvement. Lead client workshops, discovery sessions and executive briefings, facilitating complex technical and strategic conversations with confidence and clarity. Serve as a trusted thought partner as clients navigate regulatory compliance requirements, security frameworks (e.g. NIST, ISO 27001, NIS2, DORA) and evolving threat environments. Identify and shape new opportunities within existing accounts, recognising client challenges and translating them into well formed propositions. Technical Leadership Provide authoritative guidance on enterprise network security architecture, with particular depth across: SASE - architecture, vendor landscape, migration strategies SSE - SWG, CASB, DLP, RBI and integration patterns ZTNA / Zero Trust - principles, frameworks, identity centric access, micro segmentation Next Generation Firewall & IPS/IDS - policy design, segmentation, east west traffic control Network Access Control (NAC/802.1X, Cisco ISE, Aruba ClearPass) Secure SD WAN - the convergence of networking and security in modern enterprise WAN Cloud Security Networking - VPC security, cloud native firewalling, private access patterns across AWS, Azure and GCP PKI, certificate management - and encryption standards at scale Stay ahead of the vendor landscape (Palo Alto Networks, Zscaler, Cisco, Fortinet, Cloudflare, Netskope, etc.), providing clients with impartial, outcome driven guidance. Act as a technical escalation point for the wider network engineering team on security related matters. Contribute to internal capability development, helping up skill the team on emerging security technologies and methodologies. Proposals, Pursuits & Deliverables Lead the development of security proposals, RFP responses and solution designs, from initial shaping through to final submission and presentation. Create high quality client facing deliverables - architecture documents, current state assessments, roadmaps, business cases and executive presentations - to a standard that reflects Accenture's positioning. Collaborate with sales and account teams to shape win strategies, define differentiated propositions and structure commercial approaches that resonate with technical and business buyers alike. Be willing and able to personally produce deliverables where required - this is not a role that delegates everything downward. The ability to create compelling, polished outputs directly is essential. AI Proficiency & Innovation Leverage AI tools and platforms (including generative AI) to accelerate the production of proposals, assessments, research and client communications - demonstrating practical, day to day AI fluency. Advise clients on the security implications of AI adoption within their environments, including data exposure risks, access control considerations and governance frameworks. Critically evaluate AI generated outputs, understanding where AI adds velocity and where human judgement and expertise remain essential - and communicate this distinction clearly to clients and colleagues. Champion the pragmatic use of AI within the network practice to improve team productivity and the quality of deliverables. Required Experience & Qualifications Technical Extensive hands on and advisory experience across enterprise network security, with demonstrable depth in SASE, SSE, Zero Trust and secure networking architectures. Strong understanding of enterprise networking fundamentals (routing, switching, SD WAN, WAN architecture) - able to engage credibly with network engineers, not just security practitioners. Experience designing or advising on large scale security transformation programmes in complex, multi site or multi cloud enterprise environments. Familiarity with compliance and regulatory frameworks relevant to enterprise clients (NIS2, DORA, ISO 27001, PCI DSS, NIST CSF). Working knowledge of at least two or more leading security vendors at an architectural level (e.g. Palo Alto/Prisma, Zscaler, Cisco Umbrella/Duo, Fortinet, Netskope, Cloudflare). Commercial & Communication Proven ability to write and present high quality proposals and technical documents to senior client audiences. Track record of owning client relationships in a consulting, vendor or managed services context - with demonstrable examples of account growth and client satisfaction. Ability to command technically complex rooms - earning credibility with engineers through substance, not authority. Commercially aware, with an understanding of how to frame security investments in terms of risk, compliance and business value rather than purely technical merit. Adaptable communication style - equally effective presenting to a CISO or a junior analyst, and able to read the room and adjust accordingly. AI & Tools Actively proficient with AI assisted tools for content creation, research and analysis (e.g. Microsoft Copilot, ChatGPT, Claude or equivalent). Clear eyed understanding of the limitations and risks of AI generated output, particularly in technical and client facing contexts. Qualifications Degree in Computer Science, Information Security, Engineering or equivalent practical experience. One or more of the following certifications highly desirable: CISSP, CISM or CCSP CCIE Security Vendor certifications: Palo Alto PCNSE, Zscaler ZDTA/ZCCA, Cisco SCOR, Fortinet NSE 7/8 Familiarity with SABSA, TOGAF or equivalent security/enterprise architecture frameworks advantageous. The Ideal Candidate You are not a pure architect who hands off to others, nor a pure account manager who relies on technical colleagues to fill the gaps. You occupy a rare middle ground - someone who has earned their stripes technically and subsequently developed the judgement, communication skills and commercial instincts to lead at a strategic level. You are energized by variety. One day you are presenting a Zero Trust roadmap to a financial services CISO; the next you are deep in a proposal for a global manufacturing client's SASE migration; the following week you are in a workshop facilitating a threat modelling exercise with a team of network engineers. You do not just direct - you do. You understand that AI is a tool, not a replacement for expertise, and you use it intelligently to move faster and produce better work - without compromising quality or accuracy. Most importantly, you genuinely care about helping clients improve their security posture, meet their compliance obligations and protect what matters most to their business. What You Will Own Client Relationships - portfolio of blue chip enterprise accounts. Security Advisory - SASE, SSE, ZTNA, Zero Trust strategy and architecture. Proposals & Pursuits - end to end security bid leadership and content creation. Technical Authority - network security escalation point for the practice. AI Enablement - practical AI adoption within the team and client advisory. Compliance Guidance - regulatory alignment across client security programmes. Accenture is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Locations: London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Client-facing R&D Generative AI Architect Trending Job Info Job Identification 11937 Posting Date 03/26/2026, 11:20 AM Job Role AI Engineer-AI Solutions Architect Experience (In Years) 6-9 Job Location London Job Description EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Role Title: Client-facing R&D Generative AI Architect BU/Segment: Digital Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent Summary of the role We are seeking a visionary and technically adept Assistant Vice President (AVP) in EXL's AI Innovation & R&D team to spearhead our innovative client-facing initiatives in the rapidly evolving fields of Generative and Agentic AI. This high-impact, senior consulting role requires a unique blend of deep technical expertise in AI solutioning and deployment, Fortune 500 client stakeholder management skills, and the ability to drive thought leadership. You will be instrumental in advising Insurance, Healthcare, and Banking clients, designing cutting-edge AI solutions, leading complex implementations, and shaping EXL's strategy and market presence in Generative and Agentic AI. You will collaborate closely with data science, technology, business development, and client teams to identify opportunities, architect robust solutions, and deliver transformative results. As part of your duties, you will be responsible for: AI Architecture Innovation Research & Design: Focus on new innovative methods of designing and architecting AI and GenAI systems and be able to grasp and adapt monthly and weekly AI innovation coming out in the industry and apply it to our clients' use cases and needs in new modern ways. Client Advisory & Solutioning: Engage directly with senior client stakeholders (including C suite) to understand complex business challenges, identify opportunities for GenAI and Agentic AI, and define project scope. Workshop Facilitation: Design, lead, and facilitate high-impact client workshops and strategy sessions focused on identifying and prioritizing Generative and Agentic AI use cases and roadmap development. Technical Leadership & Architecture: Design, architect, and oversee the development and deployment of scalable, robust, and cutting edge Generative AI and sophisticated Agentic AI systems (including multi agent workflows) for client and internal projects. Project & Engagement Leadership: Lead large scale, complex Generative AI and Agentic AI projects from strategic conception through successful deployment, managing cross functional teams (internal and client side) and ensuring timely delivery of high quality solutions. Technical Mentorship: Mentor and guide technical teams (data scientists, data and AI engineers) in best practices for advanced AI development, deployment, MLOps/LLMOps, and agentic system design. Stakeholder Management: Build and maintain strong relationships with key internal and external stakeholders, effectively communicating complex technical concepts and project progress. Quality & Best Practices: Ensure adherence to rigorous software engineering principles, Agile methodologies, and responsible AI practices throughout the solution lifecycle. Stay Current: Maintain deep expertise in the latest trends, research, tools, and technologies within Generative AI, Large Language Models (LLMs), and Agentic AI paradigms. Qualifications and experience we consider to be essential for the role Programming & Libraries: Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). AI driven SDLC: Claude Code, Codex. Experience using Cursor, Windsurf, Replit, and Github Copilot. Google Stitch. LLM Expertise: Proven experience developing applications leveraging state of the art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine tuning, and evaluation. GenAI & Agentic Frameworks: Hands on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex, Langfuse) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph, OpenClaw, NemoClaw, agent planning, tool use integration, multi agent collaboration). AI Architecture: Deep understanding of AI/ML system architecture patterns, including microservices, event driven architectures, and patterns specific to RAG (Retrieval Augmented Generation), Graph RAG, Agentic RAG, and multi agent systems. Data: Knowledge of industry approaches to data engines and data labeling like Scale.ai and Mercor. Experience with auto data labeling and synthetic data generation techniques. Vector Databases & Embeddings: Expertise in working with various embedding models and vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS). Advanced AI Concepts: Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for complex AI systems. Software Engineering: Strong foundation in software engineering principles for building scalable, maintainable, and production ready AI systems. Cloud Platforms: Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. LLMOps/MLOps: Expertise in designing and implementing robust MLOps/LLMOps pipelines for automated testing, CI/CD, monitoring, and governance of complex AI models and applications. Leadership & Communication Proven ability to lead and motivate diverse, global teams Excellent communication skills, capable of explaining complex AI concepts to various stakeholders Strong project and program management skills and experience working in Agile environments Qualifications Education: Bachelor's degree in Computer Science, AI, Machine Learning, or a related quantitative field. Master's or Ph.D. strongly preferred. Experience: Minimum 10 years of experience in AI/ML/Data Science, with at least 5 years in significant leadership roles involving solution architecture, team management, and project delivery. Deployment Success: Demonstrated track record of successfully architecting and deploying large scale AI projects, preferably including complex GenAI and/or Agentic AI applications in enterprise or client settings. Consulting Background: Prior experience in technology consulting or a client facing technical specialist role within a technology provider is highly advantageous. Global Experience: Experience working effectively with global teams across multiple geographic locations is a plus. As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.

As a Solution Architect, you will be the primary architectural authority for our Company Tower (Corporate G&A) and act as a critical bridge between our Enterprise ERP ecosystem (SAP) and Modern Engineering platforms. You will cover end-to-end value chains for HR, Legal, Finance, Procurement, and Gross to Net (G2N), while providing technical thought leadership to ensure a neutral fit approach across custom cloud native builds, SAP BTP extensions, AI driven automation, and best of breed SaaS. Responsibilities Lead the "build vs. buy vs. extend" analysis, objectively evaluating if a business need is best met within the ERP SAP ecosystem, through custom engineering (GCP/Azure), or via third party SaaS. Support the holistic Company domain architectural blueprint owning key architecture assets including the city map and reference architecture to influence the right investments across a product group (HR, Finance, Legal, etc.) with a focus on new features and technical debt reduction. Advise on the design of scalable AI & automation patterns for integrating Generative AI and LLMs into corporate workflows while maintaining strict data privacy, controls, SOX and compliance. Where integrating with ERP, partner with ERP domain architects and technical service owners to own the architecture assets that ensure the ERP remains standard, moving custom logic to SAP Business Technology Platform (BTP) or external microservices to reduce technical debt. Design implementation paths that treat the ERP as a set of services, driving a composable landscape where SAP and Non SAP components communicate via standard APIs and events. Partner with Principal Engineers to take high level designs to a "ready to build" state, ensuring developers have clear "paved roads" for both SAP centric and cloud native projects. Contribute to the technical strategic vision and roadmap within a product group or series of related products to ensure the technology ecosystem supports the needs of the product teams. Partner with Product Management and Engineering Product Teams in pre discovery activities helping understand potential technical direction informing the hiring of key technical roles. Stakeholder Engagement Partner with product leadership to engage senior business stakeholders helping map technical decisions to business value. Manage relationships with service integrators and vendors, ensuring proposals align with Elanco's architectural standards rather than vendor specific lock in. Ensure privacy and security by design, ensuring solutions meet global compliance standards, particularly for sensitive HR, Finance and Legal data. Architecture Team Identify opportunities to consolidate technologies that span SAP and Non SAP functions to drive efficiency and reuse. Incorporate cloud cost management into architectural designs to ensure long term financial sustainability of digital products. Act as a mentor to junior and mid level engineers, fostering a culture of continuous learning and architectural excellence. Contribute to enterprise standards for Event Driven Architecture (EDA) and API Management, ensuring seamless data flow between the ERP and the wider digital estate. Recommend opportunities to rationalise or combine technologies that cut across functions for efficiency and reuse. Support solution architecture review groups to ensure solutions delivered meet enterprise requirements. Identify opportunities to directly contribute to architecture standards and patterns that product teams can use to implement solutions. Contribute to the identification and rationalisation of technical debt looking to recommend and support portfolio health initiatives across functions and enterprise. Translate enterprise architecture to engineering practices including supporting the engineering experience direction with better standardisation. Required Qualifications B.S. in Information Systems/Computer Science. 7+ years of experience in architecting and delivering enterprise IT systems. Experience in large technology selection processes able to lead technical decision making. Strong technical background ideally from a hands on IT engineering background, with experience in Architecture space. Experience with ERP solutions (SAP preferred) building upon and integrating with. Experience with SAP BTP platform preferred. Appreciation of data architecture principles. Experience working with modern application architecture methodologies (Service Oriented Architecture, API Centric Design, Twelve Factor App, FAIR, etc.). Cloud Native design patterns, with a preference towards Microsoft Azure / Google Cloud. "DevSecOps" culture, including modern software development practices, covering CI/CD, TDD, etc. Experience with interface implementation between SaaS providers (leveraging Integration as a service frameworks). Experience supporting digital platforms, including integrations, release management, regression testing, data obfuscation, etc. Experience scaling an "API Ecosystem", designing, and implementing "API First" integration patterns. Strong organizational and communications skills with multiple examples of conveying complex technical topics that resulted in a definitive direction. Strong leadership and proactive communication skills with a strong bias for action and ability to advise others. Preferred Qualifications Familiarity with infrastructure considerations (networking, hosting, security, etc.) in enabling on premise and cloud IT solutions. Experience working in a regulated industry such as life sciences or equivalent. Solution architecture certifications for Microsoft Azure or Google Cloud Platform. Experience working in a product operating model delivering architecture capability across product. Hands on experience with SAP Business Technology Platform (BTP). Experience architecting AI integrated solutions or data science platforms. Location Hook (Hybrid / 30 days per quarter in the office) Additional Information Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job related criteria or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Workforce Privacy Notice.

Let's be Stoxx is seeking a Principal Software Engineer to bring expert-level technical leadership to the development and deployment of our financial data distribution platform. We are in the process of a fully re-architecting our distribution ecosystem to a modern componentised set of solutions using GCP technologies. In this IC role, you will collaborate with Software Product Management to establish direction and refine requirements and within the Engineering team to design, build, prove and migrate to the new stack.You'll be passionate about delivery of incremental value. You have experience defining and leveraging Generative SDLC approaches to rapidly turn complex requirements and designs into capable solutions. You'll be able to demonstrate comfort and success in a matrixed organisation where reporting lines do not always dictate technical direction - in a culture where the global Data Engineering functions collaborate to achieve shared success. You will collaborate with cross-functional peers and stakeholders to share best practice and knowledge and drive continuous improvement initiatives.You'll be a humble expert, willing and able to meet people at their level and both help them and learn from them. You'll lead by example, using data and proof-of-concepts to bring people along and make them successful. You'll own deliverables as well as co-developing solutions with your peers and colleagues, to help others develop.Success in this role means you successfully navigate the line between personal and team value delivery - you embody beliefs and practices that helping your peers and colleagues grow and deliver their best, improves and reflects back on you too. Responsibilities Technical architect - Co-own our data distribution architecture and its evolution with peer Principal Data Engineers Generously share your experience to help your peers develop and grow Interpret product needs, requirements and enterprise policies into project requirements Be hands on, do what you expect others to do Help delivery teams implement your project requirements, focusing on automation and maximising reuse, quality and value Advocate for our architecture and solutions, demonstrating technical principles and business value and constantly seek feedback Assist with recruiting activities Keep abreast of emerging trends and technologies in cloud data distribution and operation, to form and disseminate new insights Requirements 10+ years experience, with at least 5 in senior data engineering roles, with focus on data distribution in the cloud Experience as a technical thought leader Experience coaching and mentoring high-performing teams Experience leading the development and deployment of large-scale, complex data pipelines Experience using and getting the best out of generative AI approaches API first mindset Design and delivery of decomposed batch preparation and real-time API pipelines Experience of user-entitlement management Experience of cloud development, the benefits and challenges Design and completion of complex migration projects, from technical and process/systems perspectives Experience of GCP products across database, serverless, containerization and API Pragmatic experience using agile to deliver incremental value Experience working in a global or multinational team setting Strong communication and collaboration skills Focus on simplicity, automation and observability Bachelor's or master's degree in computer science or related field Expertise in Python, Golang, SQL, Apigee Desirable Experience building and integrating agentic RAG solutions into data pipelines Experience with data cataloguing capabilities Domain knowledge of financial market data and financial index data models and feeds What You Can Expect from Us At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow-professionally and personally. Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success. Let's empower, collaborate, and inspire. Let's be . About ISS STOXX ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit. STOXX(R) and DAX(R) indices comprise a global and comprehensive family of more than 17,000 strictly rules-based and transparent indices. Best known for the leading European equity indices EURO STOXX 50(R), STOXX(R) Europe 600 and DAX(R), the portfolio of index solutions consists of total market, benchmark, blue-chip, sustainability, thematic and factor-based indices covering a complete set of world, regional and country markets. STOXX and DAX indices are licensed to more than 550 companies around the world for benchmarking purposes and as underlyings for ETFs, futures and options, structured products, and passively managed investment funds. STOXX Ltd., part of the ISS STOXX group of companies, is the administrator of the STOXX and DAX indices under the European Benchmark Regulation. Visit our website: View additional open roles: Institutional Shareholder Services ("ISS") is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as "protected status"). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements. Let's empower, collaborate, and inspire one another. Let's be !ISS STOXX GmbH, through its group companies, is a leading provider of comprehensive and data-centric research and technology solutions that help capital market participants identify investment opportunities, detect qualitative and quantitative portfolio company risks, and meet evolving regulatory requirements. With roots dating back to 1985, we today deliver world-class benchmark and custom indices across asset classes and geographies and serve as a premier source of independent corporate governance, sustainability, cyber risk, and fund intelligence research, data, and related offerings. Our products and services give clients the scale and leverage they need to grow their business more effectively and efficiently. ISS STOXX, which is majority owned by Deutsche Börse Group, is comprised of more than 3,400 professionals operating across 33 global locations in 19 countries. Its approximately

Join OneAdvanced Our IT Managed Services business enables customers to innovate, transform, and seize new opportunities. The Technical Operations function underpins this mission by delivering enterprise-grade, 24x7x365 technical support to mid-market clients across both public and private sectors. We operate a shared services model aligned with ITIL v4, enabled by ServiceNow, automation, and the practical use of generative and agentic AI. Our 24x7 Operations squads provide preventative management and incident response across infrastructure, cloud and modern workplace services. As a Systems Engineer within our 24x7 Operations function, you will be a capable all-rounder, providing second-line operational support across both core infrastructure and Microsoft Modern Workplace services. You will contribute to live service stability through effective incident resolution, proactive maintenance, and disciplined execution of standard changes. This is a shift-based role operating as part of a shared 24x7 squad. You will work across multiple customer environments, following defined standards and runbooks, while developing breadth and depth across Windows Server, Azure, Microsoft 365 and endpoint management technologies. This is a shift-based role forming part of a 24x7 operations squad. Candidates must be willing and able to work a 24x7 pattern including nights, weekends, and public holidays. What You Will Do Provide second-line support across Windows Server, Active Directory, Microsoft Azure, Microsoft 365 and virtualisation platforms. Support Microsoft Modern Workplace services, including Windows client operating systems, Microsoft Intune, Configuration Manager (SCCM) and device compliance policies. Resolve incidents, fulfil service requests and implement approved changes in line with ITIL processes and operational standards. Carry out patching, backup checks, endpoint updates and configuration tasks using defined runbooks and tooling. Use monitoring, event management and CMDB data to support effective triage and resolution activities. Maintain accurate and timely updates within ServiceNow, ensuring tickets, changes and configuration items are correctly recorded. Participate fully in shift handovers, ensuring continuity of service awareness and in-flight actions. Identify recurring issues, procedural gaps or monitoring noise and raise improvement opportunities through the appropriate channels. Contribute to the creation and maintenance of knowledge articles, runbooks and operational documentation. Work collaboratively with Senior Engineers and Squad Managers, seeking guidance when required and supporting team delivery. What You Will Have Practical experience supporting Microsoft-based infrastructure and workplace services in an operational environment. Working knowledge of Windows Server administration and core Active Directory concepts. Foundational experience with Microsoft Azure and Microsoft 365 services. Experience supporting Windows endpoint environments, including Intune and/or Configuration Manager. A structured, methodical approach to troubleshooting and incident resolution. Familiarity with ITSM tools such as ServiceNow, including accurate ticket and change management. Understanding of ITIL practices, particularly Incident, Change and Problem Management. Clear written and verbal communication skills, with the ability to document actions and outcomes effectively. Capability to work a 24x7 shift pattern, including nights, weekends and public holidays. Eligibility for UK Government Security Check (SC) clearance. Desirable Skills and Experience Exposure to virtualisation technologies such as VMware or Hyper V. Experience using monitoring tools such as LogicMonitor or equivalent. Basic PowerShell or scripting experience to support repeatable operational tasks. Awareness of ISO27001 and operational security controls within live service environments. Experience working in a shared services or MSP operating model. Microsoft certifications such as Azure Fundamentals, Microsoft 365 Fundamentals or Endpoint Administrator Associate. What We Do For You Wellbeing that means something 26 days' holiday + bank holidays (and the option to buy more) plus 1 paid volunteering day every year Exceptional family leave, 26 weeks fully paid maternity/adoption, 4 weeks fully paid paternity, 22 weeks fully paid shared parental leave, plus 5 days paid bereavement leave Robust sick pay of up to 13 weeks full pay + 13 weeks half pay 24/7 Employee Assistance Programme for confidential support Private medical insurance for everyone, no medical-history exclusions Financial benefits that have your back Performance-based rewards tailored to your role, from company-wide bonuses to OTE and commission structures Income protection: up to 75% salary for 5 years if you ever need it Grow your career with us SkillsHub learning platform with leadership pathways, future-manager training, and a huge online library Access to external training and apprenticeships Making a Difference MatchIt! Fundraise for a cause close to your heart and OneAdvanced will match part of the funding Pennies from Heaven donate the pennies from your pay check to help make a difference without lifting a finger Plus plenty other flexible benefits to suit your lifestyle on our RewardHub, including: ULEV car scheme with 1,000+ models Dental insurance, Health Cash Plan, Critical Illness Cover, Partner Life Cover Who We Are At OneAdvanced, we are at the forefront of delivering sector-focused technology solutions that simplify complexity, drive meaningful progress, and help build a fairer, more inclusive society. We're much more than a software company. We deliver SaaS workflow applications and IT services that power organisations across Education, Government, Healthcare, Legal, Manufacturing, Housing, Retail, and more. OneAdvanced is one of the UK's largest business software and services companies. Based in Birmingham (The Mailbox), operating across the UK, Ireland, India, and Australia. Our secure, scalable platform, including OneAdvanced AI, our private AI service for UK organisations, powers connectivity and innovation across critical sectors. Alongside our software are our IT services, including hosting, managed services and application modernisation. We strive to create an inclusive workplace that drives innovation and collaboration, championing diverse perspectives and ideas. Our Environmental, Social and Governance (ESG) strategy is embedded in everything we do, guiding us to create meaningful impact for our people, our customers and the planet. Join us and become part of a team that's powering the world of work and making a real difference.

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong problem-solving capability, with the ability to break down ambiguous business problems, form and test hypotheses, reason from first principles, and determine when AI is the right solution versus simpler alternatives. Confident stakeholder communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences, present trade-offs to senior leaders, and translate effectively between engineering, product, and business teams. Proven ability in requirements gathering and user experience design, including eliciting and documenting business needs, designing intuitive AI-powered experiences, and incorporating iterative user feedback. Adaptability and comfort working through ambiguity, adjusting technical and delivery approaches as new evidence, feedback, or business priorities emerge. Hands-on applied AI engineering experience, including proficiency in Python, JavaScript, or similar languages, and practical use of modern GenAI and agent frameworks such as LangChain, LlamaIndex, or SmolAgents. Experience building, deploying, and maintaining production-grade AI systems that deliver measurable business value. Working knowledge of data management, including data architecture, governance, and privacy considerations, with experience using tools such as Pandas, NumPy, SQL, and a major cloud platform (AWS, Azure, or GCP). Practical experience with production reliability, including monitoring, release gates, rollback strategies, incident response, and managing trade-offs between quality, latency, and cost. Experience evaluating emerging AI technologies and frameworks, designing structured bake-offs, and making evidence-based recommendations. Demonstrates deep expertise in applying AI responsibly, including consideration of ethical use, risk management, and governance in production environments. Education Bachelor's degree required in Computer Science, Data Science, Statistics, Mathematics, Business, Information Systems, or a related field. Master's degree or PhD welcomed, or equivalent demonstrable experience in applied AI. Demonstrated commitment to continuous professional development in AI or machine learning through certifications, publications, conference participation, or similar evidence of staying current in the field. Responsibilities Operate as a senior individual contributor who partners closely with the business to design, deliver, and embed applied AI solutions from initial concept through to reliable production use. Partner with business stakeholders and workstream leads to understand operational challenges and translate them into AI solutions aligned with business priorities. Present progress, options, risks, and trade-offs clearly and confidently to senior leaders, keeping stakeholders and delivery teams aligned. Own the end-to-end user journey for solutions, including requirements gathering, experience design, rollout planning, user training, and feedback capture. Frame and structure problems rigorously before designing solutions, ensuring clarity of scope, assumptions, and success criteria. Design, build, and deploy AI-powered solutions such as automation, intelligent data pipelines, predictive analytics, and custom internal tools, holding work to a quality standard appropriate for the financial services industry. Own the reliability of AI services in production, including defining release gates, monitoring, rollback strategies, and incident response processes. Profile system performance, manage token and compute usage, and balance solution quality, latency, and cost. Apply responsible AI practices, including privacy, security, and bias-mitigation controls, and participate in required reviews, sign-offs, and documentation. Run structured evaluations and bake-offs of models, tools, and frameworks, and provide evidence-based recommendations. Contribute to the Applied AI team's shared practice through documentation, demos, reference patterns, walkthroughs, and mentoring of more junior engineers. Plan and execute work with strong delivery discipline, surfacing risks and dependencies early and landing deliverables on time and within scope. About the Team The Applied AI team harnesses the latest advances in generative AI to amplify Moody's Analytics' capabilities across the enterprise. By combining strong AI product and engineering expertise with deep business understanding, the team focuses on high-impact internal workflows, beginning with sales and extending across customer service, marketing, product strategy, operations, legal, and finance. The team's mission is to create shared institutional intelligence about customers-their needs, behaviors, and feedback-enabling sharper decisions, faster actions, and long-term success for the business. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong problem-solving capability, with the ability to break down ambiguous business problems, form and test hypotheses, reason from first principles, and determine when AI is the right solution versus simpler alternatives. Confident stakeholder communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences, present trade-offs to senior leaders, and translate effectively between engineering, product, and business teams. Proven ability in requirements gathering and user experience design, including eliciting and documenting business needs, designing intuitive AI-powered experiences, and incorporating iterative user feedback. Adaptability and comfort working through ambiguity, adjusting technical and delivery approaches as new evidence, feedback, or business priorities emerge. Hands on applied AI engineering experience, including proficiency in Python, JavaScript, or similar languages, and practical use of modern GenAI and agent frameworks such as LangChain, LlamaIndex, or SmolAgents. Experience building, deploying, and maintaining production grade AI systems that deliver measurable business value. Working knowledge of data management, including data architecture, governance, and privacy considerations, with experience using tools such as Pandas, NumPy, SQL, and a major cloud platform (AWS, Azure, or GCP). Practical experience with production reliability, including monitoring, release gates, rollback strategies, incident response, and managing trade offs between quality, latency, and cost. Experience evaluating emerging AI technologies and frameworks, designing structured bake offs, and making evidence based recommendations. Demonstrates deep expertise in applying AI responsibly, including consideration of ethical use, risk management, and governance in production environments. Education Bachelor's degree required in Computer Science, Data Science, Statistics, Mathematics, Business, Information Systems, or a related field. Master's degree or PhD welcomed, or equivalent demonstrable experience in applied AI. Demonstrated commitment to continuous professional development in AI or machine learning through certifications, publications, conference participation, or similar evidence of staying current in the field. Responsibilities Operate as a senior individual contributor who partners closely with the business to design, deliver, and embed applied AI solutions from initial concept through to reliable production use. Partner with business stakeholders and workstream leads to understand operational challenges and translate them into AI solutions aligned with business priorities. Present progress, options, risks, and trade offs clearly and confidently to senior leaders, keeping stakeholders and delivery teams aligned. Own the end-to end user journey for solutions, including requirements gathering, experience design, rollout planning, user training, and feedback capture. Frame and structure problems rigorously before designing solutions, ensuring clarity of scope, assumptions, and success criteria. Design, build, and deploy AI powered solutions such as automation, intelligent data pipelines, predictive analytics, and custom internal tools, holding work to a quality standard appropriate for the financial services industry. Own the reliability of AI services in production, including defining release gates, monitoring, rollback strategies, and incident response processes. Profile system performance, manage token and compute usage, and balance solution quality, latency, and cost. Apply responsible AI practices, including privacy, security, and bias mitigation controls, and participate in required reviews, sign offs, and documentation. Run structured evaluations and bake offs of models, tools, and frameworks, and provide evidence based recommendations. Contribute to the Applied AI team's shared practice through documentation, demos, reference patterns, walkthroughs, and mentoring of more junior engineers. Plan and execute work with strong delivery discipline, surfacing risks and dependencies early and landing deliverables on time and within scope. About the Team The Applied AI team harnesses the latest advances in generative AI to amplify Moody's Analytics' capabilities across the enterprise. By combining strong AI product and engineering expertise with deep business understanding, the team focuses on high impact internal workflows, beginning with sales and extending across customer service, marketing, product strategy, operations, legal, and finance. The team's mission is to create shared institutional intelligence about customers-their needs, behaviors, and feedback-enabling sharper decisions, faster actions, and long term success for the business. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust-based,inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through oura culture of learning and growth - you'll have budget to take courses (technical and non-technical training), plus gain certifications About the role As a Senior UX/UI Designerat PAConsulting,you'lldesign practical, usable interfaces and flows that move products from 0 > 1 and beyond.You'llsometimessit at the heart of multidisciplinary delivery teamsandsometimescontribute as an individual designer embedded with a client-allwhile staying connected to our Design discipline and the wider Digital & Data community. You'llflex to different contexts-one week shaping product UI for a global consumer brand, the next helpingvisualisejourneys for a UK services client-always focused on real outcomes and pragmaticcraft-prouddelivery. Whatyou'lldo Design user journeys, flows, wireframes, prototypes(manually and using Figma Make, or similar generative platforms)and UI that support shipping working softwareacross web and mobile Take concepts fromconceptto production ready designs and iterate based on evidenceor judgement and market-leading best practices Workat pacein agile dual track cycles (discovery and delivery), adaptingscopeand fidelityasneeded to meet the goals of both projects,organisationsand users alike Often partner with engineering,productand other designers to make practical decisions quicklyboth on and off projects Contribute to and use design systems; keep patterns consistent and accessible. Apply AI tools(e.g., Copilot,Miro, ChatGPT, Claude,agentic workflows,and othergenerativetooling)to speed ideation, auditing,documentationand analysis Facilitate client workshops, whiteboarding and designreviews,present decisions clearly Qualifications Who you are A hands on Senior UX/UI practitioner with shipped product experience Comfortable balancing best practice with technical constraints and timelines Clear and concise when explaining design decisions to any audience Curious and experimental with AI enabled design workflows A constructive challenger who can reframe problems and propose workable options Collaborative, adaptable and energised by multidisciplinary delivery Break down ambiguity into concrete steps; keep momentum without losing quality Use AI intentionally to explore options faster and document decisions - never as a crutch Share early, invite critique, and iterate with evidence Switch fluidly between team based delivery and individual contributor setups Stay pragmatic: focus on value,feasibilityand the next right increment Fun, creative,energeticand contagiously optimistic Whythis role may not be the right fit If you prefer a one size fits all process or fixed toolkit for every problem Ifyou'reuncomfortable with client facing work, facilitation and(sometimes)frequentlychanging contexts If you avoid feedback loops oraren'tcomfortable sharing work early Ifyou'renot open to using AI in your workflow or toactivelylearning,applyingand sharingnew tools If you need strict role boundaries anddon'twant to flex to adjacent design activities Ifyou'renot interested in stretching yourself, taking initiative, or shaping your own growth at PA, thiswon'tbe the right environment Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters - to discuss your application, the role and PA Round 1: Either a competency or technical interview (45mins) Round 2: Amini case study and discussion around your client-centricity (60 mins) Final round : Meeting with a PA leader (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us

Let's be Stoxx is seeking a Principal Data Distribution Engineer to bring expert-level technical leadership to the development and deployment of our financial data distribution platform. We are in the process of a fully re-architecting our distribution ecosystem to a modern componentised set of solutions using GCP technologies. In this IC role, you will collaborate with Software Product Management to establish direction and refine requirements and within the Engineering team to design, build, prove and migrate to the new stack.You'll be passionate about delivery of incremental value. You have experience defining and leveraging Generative SDLC approaches to rapidly turn complex requirements and designs into capable solutions. You'll be able to demonstrate comfort and success in a matrixed organisation where reporting lines do not always dictate technical direction - in a culture where the global Data Engineering functions collaborate to achieve shared success. You will collaborate with cross-functional peers and stakeholders to share best practice and knowledge and drive continuous improvement initiatives.You'll be a humble expert, willing and able to meet people at their level and both help them and learn from them. You'll lead by example, using data and proof-of-concepts to bring people along and make them successful. You'll own deliverables as well as co-developing solutions with your peers and colleagues, to help others develop.Success in this role means you successfully navigate the line between personal and team value delivery - you embody beliefs and practices that helping your peers and colleagues grow and deliver their best, improves and reflects back on you too. Responsibilities Technical architect - Co-own our data distribution architecture and its evolution with peer Principal Data Engineers Generously share your experience to help your peers develop and grow Interpret product needs, requirements and enterprise policies into project requirements Be hands on, do what you expect others to do Help delivery teams implement your project requirements, focusing on automation and maximising reuse, quality and value Advocate for our architecture and solutions, demonstrating technical principles and business value and constantly seek feedback Assist with recruiting activities Keep abreast of emerging trends and technologies in cloud data distribution and operation, to form and disseminate new insights Requirements 10+ years experience, with at least 5 in senior data engineering roles, with focus on data distribution in the cloud Experience as a technical thought leader Experience coaching and mentoring high-performing teams Experience leading the development and deployment of large-scale, complex data pipelines Experience using and getting the best out of generative AI approaches API first mindset Design and delivery of decomposed batch preparation and real-time API pipelines Experience of user-entitlement management Experience of cloud development, the benefits and challenges Design and completion of complex migration projects, from technical and process/systems perspectives Experience of GCP products across database, serverless, containerization and API Pragmatic experience using agile to deliver incremental value Experience working in a global or multinational team setting Strong communication and collaboration skills Focus on simplicity, automation and observability Bachelor's or master's degree in computer science or related field Expertise in Python, Golang, SQL, Apigee Desirable Experience building and integrating agentic RAG solutions into data pipelines Experience with data cataloguing capabilities Domain knowledge of financial market data and financial index data models and feeds What You Can Expect from Us At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow-professionally and personally. Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success. Let's empower, collaborate, and inspire. Let's be . About ISS STOXX ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit. STOXX(R) and DAX(R) indices comprise a global and comprehensive family of more than 17,000 strictly rules-based and transparent indices. Best known for the leading European equity indices EURO STOXX 50(R), STOXX(R) Europe 600 and DAX(R), the portfolio of index solutions consists of total market, benchmark, blue-chip, sustainability, thematic and factor-based indices covering a complete set of world, regional and country markets. STOXX and DAX indices are licensed to more than 550 companies around the world for benchmarking purposes and as underlyings for ETFs, futures and options, structured products, and passively managed investment funds. STOXX Ltd., part of the ISS STOXX group of companies, is the administrator of the STOXX and DAX indices under the European Benchmark Regulation. Visit our website: View additional open roles: Institutional Shareholder Services ("ISS") is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as "protected status"). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements. Let's empower, collaborate, and inspire one another. Let's be !ISS STOXX GmbH, through its group companies, is a leading provider of comprehensive and data-centric research and technology solutions that help capital market participants identify investment opportunities, detect qualitative and quantitative portfolio company risks, and meet evolving regulatory requirements. With roots dating back to 1985, we today deliver world-class benchmark and custom indices across asset classes and geographies and serve as a premier source of independent corporate governance, sustainability, cyber risk, and fund intelligence research, data, and related offerings. Our products and services give clients the scale and leverage they need to grow their business more effectively and efficiently. ISS STOXX, which is majority owned by Deutsche Börse Group, is comprised of more than 3,400 professionals operating across 33 global locations in 19 countries. Its

. About the team: Our team is dedicated to unlocking the rich knowledge embedded within Elsevier's content through our rich data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences.As part of this mission, the AI Engineering team is focused on building reusable generative AI capabilities that can be embedded across products and platforms. We create scalable, secure, and production-ready AI services - enabling downstream teams to integrate cutting- edge GenAI features. About the role: We are seeking a Senior Software Engineer II with a passion for generative AI and platform architecture. In this role, you will drive architectural decisions and set engineering standards, and implement robust systems to deliver reusable AI services and components, collaborating closely with cross-functional stakeholders to solve meaningful challenges. You will also contribute to mentoring other engineers and helping evolve our engineering practices. Key responsibilities: Lead architectural design and ensure technical consistency. Design, develop, and maintain generative AI services and reusable components using Python. Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD. Contribute to system designs spanning multiple services and modules, aligning with architectural best practices. Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities. Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications. Lead the resolution of complex technical challenges across distributed systems. Mentor less-senior developers on engineering principles, GenAI patterns, and platform development. Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability. Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems. Requirements: 5+ years of software engineering experience. Proven experience leading technical architecture for large-scale platforms or services. Solid understanding of software development methodologies and data modelling principles. Deep expertise in Python (or failing that, Java). Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph). Strong experience with Kubernetes (EKS) and cloud-native architectures. Proven record of building scalable backend systems and APIs. Experience mentoring engineers and contributing to architectural decisions. Ability to work collaboratively across functions in an Agile or Kanban environment. Nice to have: Experience operationalizing LLMs or building an internal AI platform. Familiarity with observability practices (metrics, logging, alerts). Exposure to knowledge graphs or semantic search systems.Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Senior Software Engineer II - Data Engineering RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Software Engineer III at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations. Job Responsibilities Development of advanced machine learning models to address complex operational challenges. Evaluating and communicating the impact brought by proposed solutions. Architect and oversee the deployment of generative AI applications and agents to automate and enhance business processes. Collaborate with senior stakeholders to understand strategic business needs and translate them into comprehensive technical solutions. Analyze large datasets to extract actionable insights and support data-driven decision-making at a strategic level. Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability. Stay informed about the latest advancements in AI/ML technologies and drive their integration into our operations. Mentor and guide junior team members, fostering a culture of innovation and continuous learning. Required Qualifications, Capabilities, And Skills Advanced degree in a STEM field (Degree in Computer Science or Software Engineering), with experience in AI/ML. Proven track record of AI/ML model development and deployment of AI/ML applications in a production environment, with expertise in deploying models on AWS platforms. Deep familiarity with MLOps practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models. Expertise in machine learning frameworks such as TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn. Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing. Extensive experience with generative AI models, mainly as cloud service APIs (e.g., OpenAI). Experience with integrating user feedback to establish self improving AI applications. Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (AWS). Excellent problem solving skills and the ability to work independently and collaboratively. Strong communication skills to effectively convey complex technical concepts to non technical stakeholders. Preferred Qualifications, Capabilities, And Skills A Ph.D. is a plus but not required. Experience in software engineering practices. Experience in developing AI solutions using agentic frameworks. Experience fine tuning LLMs with advanced techniques. Experience with prompt optimisation to enhance the performance and effectiveness of prompt engineering. Demonstrated ability to design and implement AI application architecture. Significant experience in bringing AI applications to production with a focus on strategic impact and innovation.