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Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. Job Responsibilities Architect, develop, and productionize autonomous and assistive AI agents to enhance operations. Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation. Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops. Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact. Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations. Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. Required Qualifications, Capabilities, and Skills Advanced degree in Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. Familiarity with cloud platforms and containerization technologies. Strong problem solving skills and ability to work independently and collaboratively. Effective communication skills for technical and non technical audiences. Preferred Qualifications, Capabilities, and Skills Experience in financial services, especially investment banking operations. Experience fine tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands on experience with AWS services related to AI deployment and workflow orchestration. Why Join Us We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. Equal Opportunity Employment We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Job Description Job Description Role: Technology, Strategy & Advisory, Enterprise Architect Consultant Industry: Financial Services, Comms, Media & Telco, Health & Public Services Location: London, Manchester, Edinburgh Mobility: Up to 100% Career Level: Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team Do you enjoy using innovation, and the latest technologies to solve challenges and realise business goals? Do you enjoy working at the intersection of business and technology, where you're engaging with senior clients, engineers and architects on a daily basis? Are you a critical thinker that is keen to continue exploring the untouched capabilities of technologies such as Cloud, Big Data, AI and Robotics, and how they can be architected into client's landscapes to help them achieve their strategic goals? Joining the team means becoming part of a community of Enterprise Architects that serve Accenture's clients with the best and brightest insights regarding business and technology architecture. Our mission is to drive industry and enterprise re invention, powered by Technology and Data. Our values include challenging our clients' norms, building trusted relationships, and embracing diversity as a source of creativity and inspiration. We collaborate closely with experts globally to bring the best to our clients every day and stay relevant to their changing needs. Our teams are changing businesses every day using deep industry insights, technology knowledge and innovative ideas. Positioned at the intersection of business, technology and industry, we devise creative new strategies and target architectures, based on trends, insights and data. With an eye for competitive advantage, digital disruption, operating models, and the future workforce, we take on the challenge of designing and implementing transformative business solutions, using the technology to drive business advantage and create 360 value for our clients. Our research based advice and situational analyses enable our clients to act with speed and confidence. Your responsibilities as an enterprise architect will include: Assessing the impact of the business strategy on the enterprise architecture, including organisation, applications, data, infrastructure, and operations Staying abreast of industry dynamics and the impact of trends on an organisation, to identify and formulate need for change in enterprise architecture Co creating a client's Enterprise Architecture vision, strategy, and roadmap, ensuring it aligns with business objectives Developing recommendations and translating them into actionable roadmaps for complex and large technology environments using Lean and Agile enterprise principles Supporting the creation of Enterprise Architecture blueprints, demonstrating the e2e technology landscape including applications, integrations, and data Conducting end to end vendor assessments across technology, vendor and or data platforms Working between the business and technology client & 3rd party stakeholders to effectivity formulate communicate and conclude key architectural decisions Providing EA governance to clients throughout their transformation programme to ensure that new initiatives comply with the set guidelines, without jeopardising business objectives Support in designing and governing enterprise data platform capabilities including integration and automation Supporting the creation of Enterprise Architecture Operating model definition and implementation roadmaps Completing Enterprise Architecture maturity assessment on behalf of clients Support in designing and governing enterprise AI platform capabilities Qualification We are looking for individuals who: Work within or across one of the architectural domains; Business, Application, Data and Technology Have experience working on complex digital transformation programmes; working and present across different levels of architecture abstraction; and working with multi-disciplinary teams Have experience working on mergers, acquisitions and divestments Have proven stakeholder management and communication skills, leveraged to influence and persuade on key architectural decisions Have experience designing Cloud / Data Platforms & AI solutions including Gen AI ; and are inquisitive and keen to explore areas of emerging technologies Set yourself apart (we're very interested in hearing from you if you have some or all of the below) Experience working as a solution architect or enterprise architect Experience in business capability and process taxonomies, maturity assessments and alignment of gaps to enabling technology solutions Experience with Enterprise / platform / application / data architecture Knowledge of architecture tools such as LeanIX, Ardoq, iServer, etc. Experience in major enterprise architecture engagements e.g. application optimisation/rationalisation, re platforming, modernization of enterprise architecture Certified in TOGAF, SAFe, and/or AWS/Azure/GCP and other enterprise platforms Familiarity with applying key frameworks such as APQC Process Classification Framework, Zachman Framework, ITIL and Scaled Agile Framework What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With over 700,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. Closing Date for Applications - Ongoing Accenture reserves the right to close the role prior to this date should a suitable applicant be found. Locations London Additional Information 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. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . . click apply for full job details

Senior AI / ML Engineer - 12 month Fixed Term Contract, West London. Hybrid work model: onsite 2 days per week. Responsibilities Design, train and optimise machine learning models focused on user personalisation, including recommendation engines, ranking algorithms, user segmentation and content analysis. Construct and maintain robust, scalable data pipelines for feature engineering and model training, handling both structured and unstructured large scale datasets. Deploy and supervise ML models in production, ensuring high availability, optimal performance and continued relevance. Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Collaborate with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Evaluate emerging research in machine learning, deep learning and personalisation for potential integration within existing systems. Qualifications Demonstrated experience across the full machine learning lifecycle: model development, deployment, serving, monitoring and maintenance. Proficiency in Python and familiarity with ML libraries/frameworks such as TensorFlow and PyTorch. Experience with ML training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and model serving technologies (e.g., TensorFlow Serving, Triton, TorchServe). Knowledge of high volume data processing and real time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Excellent communication and analytical problem solving skills. Preferred: experience working on OTT platforms; experience in Scala. Location & Contract West London - Hybrid. 12 month Fixed Term Contract.

Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.

Senior Technical Lead - UK We are looking for an experienced Senior Tech Lead with deep expertise in Sitecore and a forward thinking approach to AI enabled delivery. In this role, you will architect and lead the technical delivery of enterprise scale digital experience platforms, embed AI tooling across the development lifecycle, and mentor a team of engineers to do their best work. Technical Leadership & Architecture Lead end to end technical architecture and delivery of Sitecore based digital experience platforms (XM Cloud, Sitecore AI, XP, XM). Define and own technical standards, code quality practices, and architectural patterns across project teams. Conduct solution design workshops and translate business requirements into scalable, maintainable technical blueprints. Oversee integrations with third party platforms including CRMs, CDPs, DAMs, search engines, and marketing automation tools. Perform and guide technical code reviews, ensuring adherence to best practices and Sitecore conventions. Provide high level and detailed technical solution estimates. Review and consult with stakeholders on SOWs. Review briefs, add questions, and refine technical requirements. Deliver all technical documentation required during discovery. Project Delivery & Estimation Contribute to pre sales and estimation activities, providing technically accurate and commercially grounded effort estimates. Identify and flag technical risks early, including gaps in client provided inputs that may impact delivery timelines. Partner with Project Managers and Solution Architects to ensure estimates remain aligned through proposal, SOW, and discovery phases. Drive re estimation processes when scope or assumptions materially change, with clear stakeholder communication. Team & Stakeholder Management Lead, mentor, and grow a team of Sitecore developers, fostering a culture of technical excellence and continuous learning. Collaborate with cross functional teams-UX, strategy, data, and QA-to ensure technical decisions support broader project goals. Act as the primary technical point of contact for clients, presenting solutions clearly and building trust through expertise. Facilitate knowledge transfer and ensure delivery decisions are well documented and accessible to the wider team. Road map and Project Planning Lead and define technology approach and tool set. Facilitate environment setup and configuration efforts in coordination with other disciplines. Brainstorm and present ideas and possible solutions, driving innovation. Develop Sitecore AI roadmap. Facilitate communication with Delivery Lead and Program Manager. Deliver all technical documentation required during planning. Identify risks and important milestones. Involve with Delivery Lead, Dev Director, and Client Partner on strategic account and delivery direction. Sitecore Expertise 10+ years of hands on Sitecore development experience across Sitecore AI, XM Cloud, XP, and/or XM. 3-5 years of experience leading design and implementation of digital technology solutions using Agile/Scrum methodologies. Strong proficiency in Sitecore development patterns: JSS, headless/SXA, serialization (Unicorn / SCS), and multisite configurations. Experience with Sitecore CDP, Personalize, Search, Content Hub, Send, or other Sitecore composable DXP products. Solid understanding of Sitecore licensing, deployment architecture, and cloud hosting (Azure / AWS). Familiarity with Vercel, Netlify, Next.js, and React in the context of Sitecore headless delivery. AI & Modern Development Demonstrated experience integrating AI coding assistants (GitHub Copilot, Cursor, or similar) into a professional development workflow. Understanding of LLM capabilities and limitations as applied to code generation, documentation, and test coverage. Ability to design structured, AI readable inputs (design tokens, content schemas, component specs) that enable automation. Experience with prompt engineering or building lightweight AI agents or automation pipelines is a strong plus. Core Technical Skills .NET / C# - solid backend development fundamentals. JavaScript / TypeScript, React or Next.js for headless front end delivery. RESTful and GraphQL API design and integration. CI/CD pipeline setup and management (Azure DevOps, GitHub Actions). Performance optimisation, accessibility standards (WCAG 2.1), and SEO best practices. Agile / Scrum delivery experience in cross functional teams. Add Ons You are Sitecore MVP and actively participate in the Sitecore community. You enjoy being in front of the client and have professional services experience. You are skilled at refining and implementing Sitecore solutions. Experience contributing to or reviewing AI influenced project estimates and delivery models. Our UK Benefits include 22 days holiday 2 floating holiday days 2 volunteering days Defined contribution pension scheme Flexibility + remote working

Senior Technical Lead - UK At Horizontal Digital, we hold ourselves to one key belief: you're only as good as your worst customer experience. This mantra is what drives our digital consultancy to think beyond the easy answers and instead create websites, apps, portals and other experiences that solve customer needs for Fortune 500 companies in intuitive and empathetic ways. We make this lofty standard a reality by fusing strategy, data, design and technology together to arrive at solutions that set the bar higher for everyone. We are looking for an experienced German speaking Senior Tech Lead with deep expertise in Sitecore and a forward thinking approach to AI enabled delivery. In this role, you will architect and lead the technical delivery of enterprise scale digital experience platforms, embed AI tooling across the development lifecycle, and mentor a team of engineers to do their best work. You will serve as the bridge between client requirements, solution design, and hands on engineering-ensuring we deliver outcomes that are scalable, performant, and commercially sound. What you'll do: Technical Leadership & Architecture Lead end to end technical architecture and delivery of Sitecore based digital experience platforms (XM Cloud, Sitecore AI, XP, XM) Define and own technical standards, code quality practices, and architectural patterns across project teams Conduct solution design workshops and translate business requirements into scalable, maintainable technical blueprints Oversee integrations with third party platforms including CRMs, CDPs, DAMs, search engines, and marketing automation tools Perform and guide technical code reviews, ensuring adherence to best practices and Sitecore conventions Provide high level and detailed technical solution estimates Review and consult with HZTL stakeholders on SOWs Review Briefs and add questions, technicalrequirements . Refine technical requirements Responsible for delivery of all technical documentation that is required during discovery Project Delivery & Estimation Contribute to pre sales and estimation activities, providing technically accurate and commercially grounded effort estimates Identify and flag technical risks early - including gaps in client provided inputs that may impact delivery timelines Partner with Project Managers and Solution Architects to ensure estimates remain aligned through proposal, SOW, and discovery phases Drive re estimation processes when scope or assumptions materially change, with clear stakeholder communication Team & Stakeholder Management Lead, mentor, and grow a team of Sitecore developers, fostering a culture of technical excellence and continuous learning Collaborate with cross functional teams - UX, strategy, data, and QA - to ensure technical decisions support broader project goals Act as the primary technical point of contact for clients, presenting solutions clearly and building trust through expertise Facilitate knowledge transfer and ensure delivery decisions are well documented and accessible to the wider team Road map and Project Planning Accountable for technical solution planning Lead and define technology approach and tool set Facilitate environment setup and configuration efforts in coordination with other disciplines Brain storming and presentation of ideas and possible solutions - Innovations Sitecore AI roadmap Facilitate communication with Delivery Lead and Program Manager Responsible for delivery of all technical documentation that is required during planning Identifying risks and/or important milestones Involvement with Delivery Lead, Dev Director and Client Partner on Strategic Account & Delivery Direction Who you are and what you bring: Sitecore Expertise 10+ years of hands on Sitecore development experience across Sitecore AI, XM Cloud, XP, and/or XM 3 5 years of experience leading design and implementation of digital technology solutions using Agile/Scrum methodologies. Strong proficiency in Sitecore development patterns: JSS, headless/SXA, serialization (Unicorn / SCS), and multisite configurations Experience with Sitecore CDP, Personalize, Search, Content Hub, Send, or other Sitecore composable DXP products Solid understanding of Sitecore licensing, deployment architecture, and cloud hosting (Azure / AWS) Familiarity with Vercel, Netlify, Next.js, and React in the context of Sitecore headless delivery AI & Modern Development Demonstrated experience integrating AI coding assistants (GitHub Copilot, Cursor, or similar) into a professional development workflow Understanding of LLM capabilities and limitations as applied to code generation, documentation, and test coverage Ability to design structured, AI readable inputs (design tokens, content schemas, component specs) that enable automation Experience with prompt engineering or building lightweight AI agents or automation pipelines is a strong plus Core Technical Skills .NET / C# - solid backend development fundamentals JavaScript / TypeScript, React or Next.js for headless front end delivery RESTful and GraphQL API design and integration CI/CD pipeline setup and management (Azure DevOps, GitHub Actions) Performance optimisation, accessibility standards (WCAG 2.1), and SEO best practices Agile / Scrum delivery experience in cross functional teams Add ons You are Sitecore MVP and active participation in Sitecore community You enjoy being in front of the client and have professional services experience You are skilled at refining and implementing Sitecore solutions Experience contributing to or reviewing AI influenced project estimates and delivery models Our UK Benefits include: 22 days holiday 2 floating holiday days 2 volunteering days Defined contribution pension scheme Flexibility + remote working The above description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Req ID: FEQ126R19 Location: London The Opportunity: Shaping The Future of Data & AI With Our Largest Customers Data & AI are the engine driving transformation across our customer base. We are seeking a strategic technical leader to collaborate with our most significant, complex enterprise customers to accelerate that transformation across the UK & Ireland. As a Lead Solutions Architect in the UKI Field Engineering practice, you will be an expert in driving organisational transformation through technology, data and AI. You will work with Databricks UKI leadership to identify and engage a select group of customers at the executive level to advise on and drive Databricks adoption to achieve their business objectives. You will demonstrate our builder culture to the highest standards. At Databricks, we believe in "show, not tell", and you will leverage the latest in Data & AI technologies to inspire customer CTOs, VPs and senior leaders to think bigger and go further in democratising Data & AI across their organisations. You will act as a peer leader for the Databricks UKI technical communities, demonstrating thought leadership, working to establish and maintain best practices and collaborating across our leadership teams to drive collective success and develop the next generation of solutions architecture talent. Why You'll Love This Role How You Will Make an Impact Trusted Advisory: You will build authentic partnerships with stakeholders-from developers to C-suite executives-helping them understand the vision of the Databricks Data Intelligence Platform. Strategic Planning: Partner closely with Account Executives & UKI Leadership to design engagement strategies that address the specific needs of our largest customers. Team Coaching: Act as a mentor for the wider practice, guiding them on how to approach complex customer scenarios and engage at an executive level with credibility. Ecosystem Integration: Solution complex engagements involving the broader cloud ecosystem (AWS, Azure, GCP) and third-party tools to ensure a seamless experience for the customer. Thought Leadership: Elevate your profile by leading executive engagement, creating customer-facing content, and speaking at industry events. What We Are Looking For Enterprise Architecture: Experience influencing technology change at a global-scale enterprise level, with a particular focus on Data & AI strategy and implementation. Commercial Awareness: Deep appreciation of customer and vendor commercial motivations and sales cycles. Market Familiarity: Understanding and experience of key Data & AI technology market players, including the major hyperscalers (AWS, Azure, GCP) and key ISVs. Builder Mentality: A bias towards "showing" rather than "telling", preferring to inspire stakeholders through built examples. Technical Expertise: Deep experience in core data & AI technologies, including languages (Python, SQL), frameworks (Apache Spark) and platforms (Databricks, etc). Collaboration: You can orchestrate diverse teams to achieve a common goal and explain complex tech to non-technical leaders. Travel: This role requires travel to customer sites in the UK and London offices (approx. 20-30%). We support flexible scheduling to help manage this travel alongside your personal life. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Europe Remote Full Time Individual Contributor +5 Years of Experience Who We Are At Yuno, we are building the payment infrastructure that allows all companies to participate in the global market. Founded by seasoned experts from the payments and tech industries, our technology provides access to leading payment capabilities, enabling companies to engage customers confidently and maintain global operations through seamless integrations. We empower high-performing teams at brands like InDrive, McDonald's, Rappi, and Viva Aerobus to integrate over 1,000 payment methods via a single API. By leveraging advanced AI and the latest technologies, we orchestrate smart routing and fraud prevention across 80+ countries. About The Role We are orchestrating a high-performing data enablement team that works with pace and enthusiasm! Yuno moves money across borders for companies that can't afford for payments to fail. Our data platform is what makes that visible - to our product teams, our clients, and ourselves. If you are a Senior Data Engineer with passion and drive who enjoys solving complex data problems and leading initiatives, then we are looking for you. You will play a pivotal role within the Data team that powers Yuno and its payment platform, while helping co-design and implement an architecture that scales with the product and the company. Your Contribution Will Be The stack is modern: StarRocks as our primary analytical layer, Flink for processing, DBT for transformation, Airflow for orchestration and various tooling for surfacing insights. The hard work of making it genuinely reliable is still in front of us - and that's exactly why this role exists. You'll be working on things that matter and are technically interesting: Design and build data pipelines for large volumes of payment data that are performant, reliable, and correct - not just fast. Own end-to-end data flows: from ingestion and transformation through to the outputs that Finance, Product, and clients rely on. Drive data quality across your domain with tooling. Work cross functionally with Product, Finance and enable other Engineering teams via a 'consulting' style model. Contribute to how the team works - code review culture, CI/CD standards, ADRs, how we handle incidents - we're building these practices now and senior engineers shape them. Help onboard and level up engineers around you; there's real opportunity to make an impact here. Skills You Need Minimum Qualifications Proven proactivity, technical acumen and the ability to lead initiatives and deliver projects. Experience in defining and evolving data engineering standards, architectural guidelines and governance, ideally within a regulated environment. Strong Python and SQL skills. Hands on experience with Spark or Flink in production. DBT for data transformation. StarRocks or a comparable analytical database. Experience building and operating data pipelines in AWS and/or GCP. Comfortable with data quality tooling and the mindset that correctness is non negotiable. Familiarity with medallion / lakehouse architecture patterns. Verbal and written fluency in English is required - we're a distributed team and written communication is important. Preferred Qualifications Airflow for orchestration. Experience with Apache Hudi. Experience with financial, transactional, or payment data. What We Offer at Yuno Competitive Compensation. Remote Work - You can work from everywhere! Home Office Bonus - A one time allowance to help you create your ideal home office. Work Equipment. Stock Options. Health Plan wherever you are. Flexible Days Off. Language, Professional, and Personal Growth courses.

Our Future Healthis an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.5M volunteers across the UK, we'renow the world's biggest health researchprogramme of its kind, and our volunteer group is also more diverse than other, similar health researchprogrammes. Technology and data are central to our mission. Our systems power websites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our engineering capability to support this ambition. We are looking for a Staff Engineer (Architect) to own the high-level design of our researcher operations systems. As Our Future Health moves to expand its research offering we need to build and operate new systems related to acquiring researchers, onboarding them, taking them through the study application process, and maintaining our relationship with them. The role will require working with other functions at Our Future Health such as Finance, Customer Support, and we expect it to involve a mixture of bespoke building of select components alongside configuration and integration of SaaS products like CRM, ticketing, support, and email comms systems. Where we build our own components you will work with product development squads to define the design and requirements for the component and then support the squad as they build it. The researcher onboarding and study application processes are vitally important to Our Future Health since they form our implementation of two principles from the "Five Safes" framework for safe research access to data - "safe people" and "safe projects". As well as the responsibilities specific to the researcher operations area, as a member of the Architecture team you will also play a key role in general architecture activities at Our Future Health - working with other engineers to guide the wider platform design, work on cross-platform projects which add new platform-side capabilities, represent technology in the early stages of future projects, and so on. Responsibilities Day to day work will vary depending on what your focus is at that time, but will include things like: Represent technology/architecture/engineering in cross functional project teams throughout a project's lifecycle (from ideation to implementation). Work within the team to identify optimal solutions for challenges, communicate them outwards to stakeholders and work with others to implement them. Work with your peer staff engineers and Head of Engineering to act as a guiding mind for the engineering/architecture in your business area. Identify areas for improvement and work with other leaders to implement. Lead decision making on critical technical strategy and implementations which affect your business area. Identify opportunities for and then carry out specific pieces of high impact hands on work where it makes sense. Work with partners and suppliers to integrate their systems with Our Future Health's. Support your colleagues with pairing, peer reviews, coaching, discussion, and other collaborative activities that help everyone reach high standards and result in the delivery of high quality software products. Contribute to the reliability, resilience and ongoing evolution of critical research platform services and live systems where required. We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Technical Skills You have led the architectural design of systems. Experience of configuring and integrating off the shelf SaaS systems with bespoke web and backend applications, via APIs, event driven architectures, etc. Appreciation of the balance between "build" and "buy", experience of weighing up pros and cons to make a selection which will fit into the wider organisation's systems and meet the needs of organisational internal users and goals. Knowledge and experience of building cloud hosted consumer web applications and backend services using open source technologies such as Node.js, Ruby on Rails, Python in a start up or scale up environment. Prior experience with Azure (ideally), AWS or GCP. Comfortable working with Infrastructure as Code, ideally with knowledge of Terraform. Knowledge of good data modelling and design patterns; in-depth knowledge of relational databases (e.g. PostgreSQL) and familiarity with other types of data store (blob, document, graph). Expertise in modern, agile development practices like code review, TDD, CI/CD and pairing using tools like Git and GitHub. Experience of operationally managing software components once live, including observability, logging, metrics, error reporting, debugging and live incident management. Experience of working with sensitive personal data. Competencies Experience working in/with cross functional teams consisting of engineers, product, UX and non technical stakeholders. Proven ability to communicate with stakeholders and audiences at different levels. Understanding of the importance of operational, security and legal factors when designing solutions, with the ability to articulate trade offs and make informed decisions around design and technology choices. Experience working in small, growing organisations with a high degree of ambiguity, where flexibility is valued. Strong understanding of software quality principles and practices. Experience in mentoring and coaching less experienced engineers. Comfortable facilitating technical discussions, encouraging collaboration and providing direction. Salary & Benefits Competitive base salary from £105,000 Generous Pension Scheme - We invest in your future with employer contributions of up to 12% 30 Days Holiday pro rata + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you Enhanced Parental Leave - Supporting you during life's biggest moments Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice EV Scheme - Save up to 40% on a brand new electric vehicle all inclusive package through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements Join Us - Let's prevent disease together. We recommend you apply as soon as possible as occasionally due to high volumes of applications we need to close our postings early. Equity and Accessibility At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you require any reasonable adjustments, please email us at

Overview Blackstone is the world's largest alternative asset manager, managing $1.1 trillion in assets across multiple investment vehicles. The Blackstone Technology & Innovations (BXTI) team builds systems to support risk management, efficiency, and transparency across the firm and its portfolio companies. Job Summary AVP - Liquid Credit Technology. The Liquid Credit Technology team develops modern fixed income asset management systems (portfolio, order, execution, trade processing) to support LCS, which manages $114B in AUM across diverse fixed income portfolios. Key Technologies C#, React/Angular, Typescript, FastAPI, Python, Terraform, SQL, AWS ECS, AWS Lambda, AWS DynamoDB, AWS SNS/SQS, CI/CD (GitLab Runners), Snowflake. Responsibilities Use cloud native technologies and services to build scalable, reliable, and secure applications. Build, support, and integrate web applications, microservices, and data pipelines with high code quality. Write automated unit, integration, and deployment tests. Use CI/CD tooling (e.g., GitLab Runners) to build and deploy code across environments. Apply modern development methodologies; use JIRA for project tracking. Participate in technical design, code reviews, and agile ceremonies; troubleshoot defects. Provide technical support, automate repetitive tasks, stay updated with industry trends. Mentor and train junior developers; contribute to a collaborative team culture. Potential requirement for securities licenses if client facing responsibilities arise. Qualifications At least 3years of proven software development experience in relevant industry. Proficiency in C#, JavaScript (React and/or Angular), Typescript, relational/NoSQL databases, and cloud technologies (preferably AWS). Experience designing, developing, and operating scalable microservice architectures and RESTful APIs. Strong object oriented programming background and ability to develop secure, maintainable code. Excellent problem solving, communication, and teamwork skills. Self starter with entrepreneurial attitude, willingness to mentor, and thrive in fast paced environments. Experience with automation testing and performance testing. Fixed income front office trading systems experience preferred. Bachelor's degree in Computer Science, Engineering, or related field. Equal Opportunity Employer Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training.

Overview The role Willis Re is a technology led reinsurance broker built on a cloud native, modular and data driven platform. As the Technology Head of AI & Emerging Tech, you will own the overall technology strategy and roadmap for AI, automation and next generation capabilities. As a member of the technology leadership team, you will turn innovation into scaled capabilities across broking, placement, analytics, and client servicing-balancing speed with safety, and experimentation with operational excellence. You will partner closely with the Product Manager, Brokers and business leaders to design simple and scalable solutions and move them from pilot to production with clear accountability. Operating in a hybrid delivery model, you will set standards, govern risk and ensure alignment to global architectures and security requirements, while enabling regional flexibility where needed. Key Responsibilities Define and own the technology strategy for AI, aligned to business priorities; translate value propositions into a roadmap. Lead delivery of AI solutions across pricing support, submission triage, document and market data extraction, client insight, workflow automation and co pilot experiences for employees. Establish responsible AI governance and controls in partnership with Cyber, Data Protection and Legal, covering model risk, data privacy, transparency, human in the loop and auditing. Build the target operating model for AI engineering and MLOps, including model lifecycle management, monitoring, incident response, versioning and cost/performance optimisation. Set global standards for AI platforms, toolchains and integration patterns; ensure interoperability with enterprise data platforms and adherence to security and compliance requirements. Drive rapid experimentation with clear exit criteria; scale successful pilots into reliable, maintainable services using automated testing, observability and release practices. Develop and manage strategic vendor and partner relationships, balancing build vs. buy decisions and negotiating commercial and risk terms that protect value. Provide executive level communication and storytelling on technology strategy, risks and outcomes; partner effectively with Product Managers, Brokers and clients to shape solutions that fit market workflows. Assist Product Managers to ensure solutions land successfully with business teams. Maintain horizon scanning and technology assessment, identifying pragmatic opportunities to introduce new capabilities that enhance agility and global scalability. About you You are a business minded technology leader who turns AI and advanced technology into practical capabilities. You combine strategic clarity with hands on depth, moving comfortably from business conversation to solution design and delivery oversight, and you anchor decisions in risk and value. You thrive in a start up environment and are comfortable operating beyond your usual remit to get things done-partnering with business, engineers and regional leaders to unblock delivery and drive adoption. You communicate crisply with business leaders, make trade offs explicit and hold clear ownership for outcomes. Skills and experience Significant experience leading digital transformation, with proven delivery of AI, automation and emerging technology in complex, cloud first environments. Proven capability to architect end to end solutions as well as deliver them, from reference architectures and integration patterns through to production rollout and adoption. Proven delivery of AI/ML and GenAI solutions in production, including document intelligence, NLP, search/summary, recommendation, decision support and workflow automation. Strong grasp of responsible AI, security and compliance, including model risk management, privacy, data residency, human oversight and auditability. Hands on understanding of AI/MLOps practices and platforms, including model lifecycle, observability, cost control, CI/CD, feature stores and data integration. Experience defining and governing enterprise standards and architectures for AI platforms, APIs and integration, aligned to global patterns with regional flexibility. Demonstrated ability to partner with business leaders, translating business requirements into scalable solutions. Vendor and partner management expertise, including evaluation, contracting and ongoing performance management tied to value realisation. Excellent communication and stakeholder management skills, with credible engagement at all levels and across multi region teams. About Willis Re We combine specialist broking with analytics, modeling and research to help insurers optimise risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship driven, transparent and outcome focused. At the heart of Willis Re is a focus on delivering the most cutting edge analytical solutions to enable more informed, better decision making for risk selection, portfolio optimisation, and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future led and forward thinking. Willis Re will also leverage recognised technical expertise from WTW's Insurance Consulting & Technology business including their advanced modelling and analytical capabilities. Alongside this will be WTW's Research Network, an award winning business supporting and influencing science to improve the understanding and quantification of risk. Diversity & Inclusion We are committed to embracing a diverse, inclusive, and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories. If you have a need that requires accommodation, please email us at .

Role purpose Avanade UK Security is scaling fast, requiring a Director level Identity & Access Management (IAM) Lead to build a Microsoft first IAM growth engine across advisory, implementation, and managed services, with a strong bias toward repeatable offers, accelerated conversion, and delivery excellence. This role is also accountable for positioning Identity as the control plane for AI era security, including Microsoft Agent365, Copilot driven workflows, and emerging agent based architectures, ensuring UK Security is future proofed for the next generation of identity centric security demand. This role reports to the UK Security Practice Lead and leads presales/solutioning with a technical Solution Architect and Presales Lead. Furthermore, this role owns IAM GTM, delivery quality, capability/IP build while feeding into the Identity MSS module as part of the broader MSS portfolio (separate accountability, tight interlock). Travel expected for key clients, Microsoft, and Practice leadership commitments. Commercial expectations This role influences revenue and will carry a soft target aligned to the UK Security all up plan: Year1: $1-2m influenced growth. Year2: $2-3m influenced growth. Success is measured through supporting the sales team to generate pipeline, conversion of pipeline, expansion/attach of existing accounts, and repeatable delivery. Reporting line & operating model Reports to: UK Security Practice Lead Key peers: UK MSS Lead, UK Security Presales Lead, UK Security Solution Architects (x2 from other practices - Infrastructure, Software Engineering, Modern Workplace, Data & AI, Business Applications) People leadership: No formal line management initially; expected to act as Career Advisor/People Lead for a small number of individuals (mentorship, development, high performance standards). Matrix influence: Identity Solution Architect soft reports into the IAM Lead for practice level IAM direction, consistency, and capability build while security leadership team members continue to report to the Practice Lead. Success criteria First 6 months - A clear IAM "spine" for the practice: what we sell, how we sell it, how we deliver it, and what becomes service delivered across UK onshore, nearshore delivery centres, and offshore delivery centres. A repeatable presales motion for Entra led IAM (workshops/assessments/pilots scaled rollouts) that improves speed and win rate. Delivery governance and QA standards that reduce programme variability and escalations. 12 months - A scaled, Microsoft first IAM pipeline with a predictable conversion pattern. Demonstrable asset reuse (templates, reference architectures, automation patterns, delivery playbooks). A clear project to service pathway into Identity MSS (handover criteria, onboarding artefacts, operational KPIs etc.). 24 months - UK recognised as a credible IAM leader in regulated industries, with external presence (clients/Microsoft/events) supporting sustained growth. Key responsibilities IAM GTM & seller enablement (primary) - Own the UK IAM narrative and differentiation: Microsoft Entra first (Entra ID, Entra Suite/E7 positioning, Identity Protection, governance and lifecycle foundations etc.). Own the UK Security narrative and capability for identity centric AI security, including Microsoft Agent365, Copilot, and agent based workloads, where identity, permissions, and trust boundaries are the primary control mechanisms. Define how agent identities, agent permissions, human to agent and agent to agent trust, and data access are governed, monitored, and secured using Microsoft Entra and the broader Microsoft Security stack. Ensure IAM offerings explicitly address AI driven risk scenarios, including delegated agent access, over privileged identities, lateral agent movement, and non human identity sprawl. Position Identity as the foundational security layer for AI adoption, pulling through Entra, E7, Purview, Defender, and AI Security conversations as a single, coherent value proposition. Build IAM led GTM plays where AI security, Copilot adoption, and Agent365 are anchored in identity governance, access control, and trust, positioning IAM as the entry point rather than an implementation afterthought. Build practical seller enablement: talk tracks, qualification prompts, value proof, commercial guardrails, "what good looks like" etc. Create repeatable plays by industry and account segment where identity is the control plane for transformation and AI adoption. Presales leadership & solutioning - Lead solutioning for complex IAM pursuits with UK IAM Solution Architect: scope, approach, commercials, delivery model, risks, and dependencies. Drive fast, outcome led client entry motions (e.g., Entra security & resilience assessment, identity modernisation, governance quick starts etc.). Work with Microsoft where relevant to accelerate co sell and secure sponsorship (without diluting Microsoft first stance). Delivery quality, escalation & governance (shared accountability) - Own IAM delivery quality and programme health: QA gates, architecture assurance, delivery risk management, and escalation resolution (shared with delivery leads). Ensure delivery standards produce repeatable outcomes and strong client confidence (not bespoke reinvention). Embed modern identity security realities into delivery (identity threat, resilience, response readiness) beyond "implementation complete" to expand Microsoft security footprint. Capability, assets & IP - Build reusable assets across assessment/diagnostics, reference architectures and design patterns, migration patterns (hybrid/legacy modernisation), automation (PowerShell, Graph/API patterns), runbooks and onboarding templates. Establish a clear lifecycle across project asset offer service to compound capability and drive recurring revenue. Identity MSS interlock - Define the "handshake" from projects into Identity MSS: what must be true at handover, onboarding artefacts, operational KPIs/reporting, continuous improvement backlog and ownership boundaries. Partner closely with the MSS Lead to ensure Identity MSS is scalable and commercially viable, without blurring accountability. Partner leverage - Build and support the Partner Ecosystem team to manage relevant partner alliances when needed (e.g., migration from non Microsoft IDPs; selective IGA integration etc.) always anchored to a Microsoft first end state. Culture, leadership & people development (mentorship) - Act as a high trust, high autonomy, high standards leader who raises quality, pace, and ambition. Provide mentorship and capability development through Career Advisor responsibilities and informal leadership especially for Solution Architects and emerging IAM talent. Essential Experience Proven track record building and scaling IAM capability in a consulting environment: sell + solution + deliver + industrialise. Deep Microsoft Entra leadership across Entra ID security and configuration, Conditional Access, authentication strength, Identity Protection, Identity governance and lifecycle foundations (JML and provisioning patterns), X to Entra migrations, driving Microsoft first identity journeys. Demonstrated ability to translate emerging Microsoft platform shifts (e.g. Agent365, Copilot, AI enabled security) into credible client narratives, offers, and delivery patterns, with Identity positioned as the primary security control. Strong understanding of workforce IAM and hybrid/legacy identity modernisation (AD and modern identity patterns). Senior stakeholder presence: able to operate credibly with CISOs/CIOs and internally influence sellers and architects. Desirable experience: Security operations awareness: monitoring/logging patterns, identity investigations, and integration with broader security services; Customer Identity and Access Management (CIAM)/B2C experience. Non negotiable behaviours: Microsoft first mindset as an exclusive stance; "start up mentality" - hungry, creative, ambitious, pace driven, ownership led; able to form and articulate a clear point of view on how identity, AI agents, and automation change the security model; Builds through others: sets direction, creates clarity, removes blockers, demands quality without creating dependency; Comfortable operating in a high ambition peer group with shared standards and high autonomy. Measures of success Influenced revenue against soft target (pipeline creation and conversion). Win rate and cycle time improvement for IAM pursuits. Delivery health: reduced escalations, stronger QA, predictable outcomes. Reuse rate and adoption of IAM assets/standard approaches. Successful, measurable conversion path from IAM projects into Identity MSS.

Introduction Join Avanade's Global Integrated Center of Excellence (ICOE) as a hands on AI Application Architect, helping design intelligent, agentic, cloud native applications. You will apply advanced AI techniques to accelerate every phase of the delivery lifecycle - from analysis and design to build, test, deploy, and operate - driving transformation across complex enterprise landscapes. Role Overview As part of the Application & Infrastructure SME team within the ICOE, you will focus on modern application architecture while pioneering the use of agentic AI in real delivery scenarios. You will collaborate closely with Avanade Regions on both direct and indirect deals, supporting them during solutioning phases as well as during critical delivery phases. Whether modernizing legacy systems or building solutions from scratch, you will apply agentic AI to transform how projects are executed end to end. What you'll do Architect AI powered applications using autonomous and semi autonomous agentic frameworks. Apply AI agents across all delivery phases: analysis, design, build, test, deploy, and operations. Modernise legacy applications using agentic AI for discovery, transformation, and refactoring. Define end to end architectures integrating traditional software, LLMs, vector stores, and orchestration. Drive AI adoption within Avanade Regions, enabling AI driven solution roadmaps. Contribute to solution planning and design across multi disciplinary and multi cloud environments. Develop accelerators, reference architectures, and reusable assets for agentic AI patterns. Guide engineering, data, and DevOps teams on AI automation and pipeline integration. Travel occasionally for high value client engagements. Skills and Experience 12+ years of experience designing and developing enterprise scale applications. Strong foundation in software engineering including frontend, backend, APIs, data, and cloud architecture. Expertise in Java or C# as a primary language; hands on experience with Python, Rust, and TypeScript/JavaScript. Proven delivery experience applying agentic AI to modernise legacy systems or build new solutions. Hands on expertise with agentic AI frameworks such as AutoGen, Semantic Kernel, LangChain, or equivalents. Ability to apply AI agents across all phases of delivery: requirements, architecture, coding, testing, documentation, and deployment. Experience with LLMs, prompt engineering, RAG, vector databases, and orchestration patterns. Strong Azure expertise preferred, with hands on exposure to AWS and GCP. Experience integrating AI into distributed systems, microservices, APIs, and event driven architectures. DevOps and MLOps experience including CI/CD, IaC, automated testing, observability, and deployment automation. Familiarity with data engineering, ML models, Responsible AI, and enterprise governance. Ability to communicate complex AI concepts to both technical and executive audiences. Cloud, AI engineering, or architecture certifications are a plus. About You Passionate about AI with hands on experience applying agentic patterns in real delivery work. Comfortable working at the intersection of software engineering, AI, cloud, and automation. Clear communicator across technical and non technical stakeholders. Enjoy mentoring teams and raising overall AI engineering maturity. Continuously explore emerging AI frameworks, tools, and architectural approaches. Your Career Opportunity You will have access to global technical communities, a dedicated career advisor, and supportive colleagues who care about your success. You can benefit from minimum 80 hours of training per year and paid certifications.