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TL;DR: We are looking for a collaborative engineer with a bias for action and a strong focus on delivering customer value. If you are motivated to solve performance problems at a massive scale and passionate about your craft, you will find a supportive environment at Cloudsmith. About Cloudsmith Cloudsmith is transforming how organizations handle software artifacts and secure their supply chains. As a cloud native, multi tenant platform, we enable organizations to build software better, through best in class artifact management and software supply chain security. Our vision is to become the software supply chain itself, powering the future of software delivery. We are the world's most potent artifact management platform, built by developers for developers. Our platform supports over 30 formats spanning languages, container formats, and operating systems, with enterprise grade features, including vulnerability and security scanning, world class policy management and enforcement, and web scale to handle the Fortune 500. Organizations integrate Cloudsmith as critical infrastructure into their development, deployment, and distribution pipelines, trusting us to protect and accelerate, regardless of scale. Backed by top tier investors and on a trajectory toward IPO and beyond, we're building mission critical infrastructure that powers software delivery for organizations worldwide. We operate at the cutting edge of cloud native technology, tackling complex distributed systems challenges that directly impact millions of developers. Now is an exciting time to join us as we revolutionize how organizations deliver and secure software and help write the next chapter of our rocketship growth story. The Role As a Senior Software Engineer in the Platform Edge team, you'll build the infrastructure that powers fast, reliable package delivery at a global scale. You'll design and implement edge caching systems, CDN optimisations, and distributed networking solutions that ensure our customers can access their packages quickly and reliably from anywhere in the world. This is a rare opportunity to shape the future of our edge infrastructure by designing greenfield solutions that unlock the next stage of global scale. Your work will help teams ship with confidence-knowing their packages are delivered with optimal performance and availability. Our Team We are four teams responsible for building application capabilities and the underlying platform upon which Cloudsmith is founded. We operate in a highly collaborative environment, where people with different skills come together to make things happen. We each contribute to an environment where curiosity, support, transparency, and bias for action reign. We have a modern CI/CD approach, deploying several times per day, and we support a global set of customers who are engineers like us. Key Responsibilities Build: Design, build, and ship new features and optimisations for our edge infrastructure that enhance global package delivery performance across public and private networks. Resilience: Help keep our systems fast, reliable, and running smoothly at a global scale. Collaborate: Work closely with teammates from product, design, and customer success to solve complex scaling and networking problems together. Quality: Prioritise quality and security through rigorous testing, monitoring, and sustainable engineering habits. Mentor: Share your knowledge through code reviews, documentation, and mentoring others to foster a growth oriented environment. Required Experience, Qualities & Skills We realise that not everyone will have every experience and expertise in every possible thing. Still, if you have many of the following, we might be a great place to progress your career. Experience: 5+ years (or equivalent) of professional experience building, testing, and maintaining complex distributed systems in production. Technical Proficiency: Strong experience with Rust (or another low level systems language) for building high performance infrastructure services; experience with Typescript or Python is a plus. Edge Networking Domain: Familiarity with proxy technologies (e.g., Envoy, Traefik, HAProxy, nginx), network routing, CDNs, edge compute, DNS, certificate management, and observability. Infrastructure: Familiarity with cloud based infrastructure and related services (AWS, CloudFront, Lambda, ECS, Postgres, S3, Kinesis, Terraform, Clickhouse), container runtimes, event driven architectures (high volume data pipelines), and continuous integration. Iterative Delivery: You understand the importance of shipping early and often and delivering value iteratively. Communication: An enthusiastic and effective communicator who can bridge the gap between technical and non technical stakeholders. Mindset: Deeply passionate about your craft, eager to learn, and comfortable admitting what you don't yet know. Benefits, Location & Work Environment Note: You must be based in Ireland or the United Kingdom and have the right to work independently without requiring sponsorship. Headlines A position based in Ireland or the United Kingdom. A competitive compensation package, including equity. With comprehensive health, dental, and vision insurance. Plus, generous annual leave and flexible working policies to suit your lifestyle. Including a professional development budget for conferences and training. In a dynamic, innovative, trust centric, and supportive work environment. With the opportunity to shape a fast growing Series B startup (and beyond). Regular (monthly-ish) travel may be required for team meetings. Regular (quarterly-ish) travel may also be required for events and customers. Health and Wellness Regardless of your location, we deeply care about the health and wellness of our staff and their families; a sustainable pace is important to us. In addition to generous annual leave (PTO), we offer health and well being benefits along with flexible family friendly working policies. Personal Growth You will have an enormous opportunity to learn new skills alongside your colleagues, and your continued professional development is essential to us because it's important to you. We will support you with budgets for equipment, training, books, conferences, travel, and certifications. The more powerful you become, the better for all of us. Facilities Cloudsmith is headquartered in Belfast, Northern Ireland, with fully equipped office space that's open 24x7. We use our H.Q. regularly for activities like working sessions, team planning, meets and greets, and sometimes other group activities (like games!). We also hold all hands off sites in Belfast twice a year, featuring guest speakers and team activities. Many Cloudsmithers work remotely, so we rely on our online collaboration tools; Slack, Google Docs, Linear, and other popular collaboration tools are how we work. About Equal Opportunity Cloudsmith is an equal opportunity employer proud to nurture a diverse workplace that welcomes applications from individuals of all races, genders, and ethnic groups. We do not discriminate on age, religion, sexual orientation, citizenship status, military service, or health conditions. We will not tolerate discrimination of any kind within our workforce. The Final Word We're looking for someone who has a passion for their craft, a collaborative attitude, and a desire to build a product customers love. We are critical infrastructure built by developers for developers, and we are building the world's software supply chain platform and ecosystem. We want to hear from you if you are excited to build the edge networking layer that powers software delivery at a global scale-balancing thoughtful design with real world constraints-to leave a lasting impact on the software industry from today until IPO and beyond.

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations. In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a 'One to Watch' on the Sunday Times Tech Track. The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories. We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, and supportive place for you to do your very best work. Due to the nature of the work and the customers, you must hold enhanced DV Security Clearance. As a Lead Data Architect, with a minimum of 6 years of experience, you will play a role in shaping data strategy and ensuring the success of our client's complex, critical high-profile projects. You will support the design and implementation of secure, scalable, and resilient data architectures on AWS and other cloud platforms, while also serving as a mentor to a team of skilled data professionals. Duties & Responsibilities Engage with stakeholders, both internal and external, to understand business requirements, provide strategic guidance, and ensure that data solutions meet their objectives Support the design, development, and implementation of data architectures that meet the needs of our clients, ensuring alignment with security, performance, and scalability requirements Utilise extensive experience with AWS tooling and other cloud providers to architect and deploy secure, cloud-native solutions for batch and real-time data processing Provide technical leadership and guidance to cross-functional teams, ensuring best practices in data architecture, security, and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data Ensure all data solutions comply with industry standards and government regulations, maintaining the highest levels of data security and integrity Monitor technical deliverables against the designs, manage and report on design divergences Support the sales and pre-sales teams by providing expert advice and input on proposals, ensuring technical feasibility and alignment with client needs Advise and support on breaches of data standards and make recommendations about how they should be resolved Stay up to date with the latest advancements in cloud technologies, data architecture, and security practices, and apply this knowledge to continuously improve our offerings Core Experience and Competencies 6+ years of experience in data architecture, with a focus on secure, large-scale, and complex projects Extensive experience with AWS services, including but not limited to EC2, S3, RDS, Lambda, and Redshift. Experience with other cloud providers (e.g., Azure, GCP) is a plus In-depth knowledge and hands on experience with Apache Flink for real time data processing Proven experience in mentoring and managing teams, with a focus on developing talent and fostering a collaborative work environment Strong ability to engage with and influence senior stakeholders, understanding their needs and translating them into actionable technical plans Desirable skills in Scala and Spark to support wider programmes of work Hands on Public Cloud experience in either AWS/Azure/Google Cloud Platform, both their 'services' and 'how' to work in the cloud such as DevOps centric approach Having worked in sensitive data environments and ideally have experience facing off to cyber security specialists Understand and apply recognised data modelling patterns and standards Aker Systems Attributes At Aker we work as a team; we are collaborative, hardworking, open, and delivery obsessed. There is no blame culture here: try things, and take responsibility for the outcomes. You are always part of the wider Aker. We help our colleagues and take pride in successfully achieving difficult tasks. We run towards problems and help to solve them. Communicate always, do so accurately and in a timely fashion. In return, we offer a competitive salary, 25 days holiday plus bank holidays, company paid medical insurance and life assurance, pension scheme, annual training allowance, wellbeing allowance, virtual GP, Employee Assistance plan and more. Aker Systems fosters a diverse environment that encourages openness in its communications and is committed to providing equal employment opportunity for all people regardless of race, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics. We embrace differences of opinion and diversity because they help challenge us and find new groundbreaking technical solutions.

TL;DR: We're looking for a deeply technical Application Security Engineer to embed inside engineering and help secure Cloudsmith 2.0, the operating system for the modern software supply chain. The ideal person is a software engineer at heart who chose to specialize in security. You should be comfortable moving between code, architecture, and security design. About Cloudsmith Cloudsmith is building the operating system for the modern software supply chain. We run a global, fully managed, multi-tenant SaaS platform that helps organizations, from startups to the Fortune 500, secure, govern, and distribute software artifacts at scale. Worldwide, our customers use Cloudsmith as a critical infrastructure control plane for CI/CD, developer workflows, security controls, compliance, and software distribution, supporting 30+ formats and ecosystems across languages, containers, and operating systems. We recently raised our Series C to accelerate Cloudsmith 2.0: deeper artifact intelligence, stronger policy and provenance, faster package-aware delivery, and infrastructure built for engineering teams, as well as the modern AI-driven software factory. By developers, for developers: we care about craft, architecture, and enterprise scale. The Role As a Senior Application Security Engineer, you'll report to the Head of Security and embed directly into one of our engineering tribes. You'll work alongside Engineering Managers, Product Managers, Principal Engineers, and product engineers as part of the tribe's day-to-day rhythm. Your job is to advocate for security from within the core engineering function, not from the sidelines. That means joining design discussions early, reviewing code and architecture, identifying risks early, and helping the tribe land secure, pragmatic fixes. We are building a model where security engineers are part-IC, part-security specialist. You should be able to contribute directly, but your greater leverage lies in raising the security judgment of the engineers around you, so good security becomes part of how we work. Key Responsibilities Embed inside an engineering tribe and participate in planning, design review, code review, incident learning, and delivery conversations. Collaborate across security, platform, and engineering guilds so security work routes to the right team, at the right time, with the right priority. Threat-model product and platform changes across APIs, workers, data stores, queues, object storage, CDNs, identity, policy, and tenant boundaries. Review production code and architecture for authentication, authorization, data access, secrets handling, artifact integrity, signing, auditability, and abuse cases. Build and improve security tooling, paved roads, checks, libraries, and automation that make securing Cloudsmith easier for engineers. Tune and operate security controls across SAST, DAST, SCA, secrets scanning, container scanning, IaC scanning, dependency analysis, and runtime signals. Investigate, triage, and remediate vulnerabilities identified through internal testing, third-party testing, responsible disclosure, customer reports, and security tooling. Support security incidents, red/blue exercises, detection work, and post-incident actions, improvements, and other investigatory/preventative follow-ups. Support technical control work for SOC 2, ISO 27001, EU CRA, and related frameworks, working with GRC where security engineering input is needed. Raise the tribe's security capability by helping engineers understand risks, threat-model their own work, and recognize what good secure design looks like. Required Experience, Qualities & Skills Technical Depth Around 5+ years of hands on application security experience, or equivalent experience across software engineering and security, with security as your recent focus. Deep software engineering craft, with a focus on Python. Familiarity with TypeScript, Go, or Rust is an advantage. Effective use of ownership-driven AI is useful. Deep web and API security knowledge: OWASP Top 10, business logic flaws, authn/authz design, token handling, REST, GraphQL, and multi tenant access control. Practical threat modeling and vulnerability research experience against real applications, APIs, cloud native systems, and distributed services. Strong cloud native security experience, especially across AWS, IAM, KMS, S3, containers, Terraform, CI/CD, secrets handling, logging, and multi tenant isolation. Sound judgment on vulnerability priority. You understand CVSS, but you care more about exploitability, reachability, tenant impact, and production reality. Ability to reason through production systems: APIs, queues, caches, databases, workers, CDNs, object storage, edge delivery, telemetry, and failure modes. Clear communication in a remote first environment. Your threat models, risk write ups, incident notes, and feedback should be useful to engineers and credible to leadership. Software Supply Chain & Security Cloudsmith is not just another SaaS product. We are the artifact control plane for our customers' software supply chains. You should understand, or be excited to go deep on: Ecosystems such as npm, PyPI, Docker/OCI, Maven, Helm, and Hugging Face. Software supply chain threats such as dependency confusion, typosquatting, malicious packages, maintainer compromise, metadata poisoning, and build system injection. Artifact and registry concepts: immutable blobs, mutable metadata, package identity, checksums, upstream proxying, private repos, access control, caching, and promotion. Provenance and trust mechanisms such as SBOMs, signing, attestations, SLSA, Sigstore, in toto, trusted publishing, and zero trust software delivery. Bonus Points Experience securing artifact management, package registry, container registry, CI/CD, DevOps, developer tooling, or supply chain security platforms. Experience with secure runtime environments, sandboxing, workload isolation, policy engines, OPA/Rego, eBPF, or similar control points. Contributions to open source security tooling or supply chain security projects. Familiarity with Datadog, AWS Security Hub, Okta, GitHub Advanced Security, Snyk, Semgrep, Trivy, Wiz, or similar tooling. Useful, but not required: certs such as OSCP, CSSLP, GPEN, GWAPT, GCSA, or CISSP. Cultural Values We're Looking For Engineering first security: You operate as an engineer first for security problems. Builder mindset: You fix code and automate the boring parts to accelerate others. Practical paranoia: You can think like an attacker without losing sight of practicality. High standards, low ego: You raise the bar without devolving into arguments. Clear thinking: You can turn messy problems into decisions and trade offs. Ownership: You care deeply about the security of the product, platform, and company. Impact & Growth This role helps shape application security for a platform that secures the software supply chain for organizations from startups to the Fortune 500. AI is increasing the rate at which software is created, changed, assembled, and shipped. Enterprises need stronger controls, better provenance, clearer trust decisions, and a faster path to delivery. Cloudsmith is building the critical infrastructure to record, govern, and deliver software artifacts at scale. You'll help make that infrastructure safer from the inside. As the function grows, you'll have the opportunity to shape our application security roadmap, define how security engineers embed within tribes, influence secure engineering patterns, mentor future security hires, and represent Cloudsmith externally in the security community. Benefits, Location & Work Environment You must be based in Ireland or the United Kingdom and have the right to work independently without requiring sponsorship. Headlines A position based in Ireland or the United Kingdom. A competitive compensation package, including equity. With comprehensive health, dental, and vision insurance. Plus, generous annual leave and flexible working policies to suit your lifestyle. Including a professional development budget for conferences and training. In a dynamic, innovative, trust centric, and supportive work environment. Belfast HQ, used for working sessions, planning, all hands, and team events. Opportunity to help shape a fast growing company building critical infrastructure. Regular travel may be required for team meetings, planning, customers, and events. Health and Wellness We care about the health and wellness of our people and their families. Sustainable pace matters. We offer generous annual leave, health and wellbeing benefits, and flexible family friendly working policies. Personal Growth You will have room to grow alongside strong colleagues. We support professional development through budgets for equipment, training, books, conferences, travel, and certifications. Facilities Cloudsmith is headquartered in Belfast, Northern Ireland, with fully equipped office space for working sessions, planning, meetups, and team activities. We rely on Slack, Google Docs, Linear, and other tools to collaborate across locations. About Equal Opportunity Cloudsmith is an equal opportunity employer, proud to nurture a diverse workplace that welcomes applications from individuals of all races . click apply for full job details

We're looking for a high calibre Platform Architect to join our team in a permanent capacity to spearhead our long term infrastructure modernization and governance strategy. This is a "hands on" architectural leadership role; you'll be the primary custodian of our technical roadmap, responsible for defining high level strategy and leading the end to end execution of complex migrations, automated lifecycle management, and security hardening. As a permanent pillar of the team, you will be the driving force behind enforcing AWS Well Architected standards across our entire multi account estate. You will treat the platform as a product-continuously identifying and eliminating technical debt, from decommissioning legacy directory services to upgrading out of support libraries. By building and scaling the automated deployment pipelines and robust guardrails that underpin our operations, you will ensure our "seriously digital" future is built on a resilient, secure, and world class foundation. What you'll be doing: Architectural Ownership: Define and maintain the long term architectural vision for the Wickes cloud platform, ensuring it scales with the business. Governance & Guardrails: Design and enforce automated preventive and detective guardrails (SCPs, AWS Config) across the AWS Organization to ensure continuous compliance. Identity Modernization: Lead the strategic decommissioning of AWS Active Directory and manage the lifecycle of Microsoft Domain Controller upgrades. Automated Lifecycle Management: Establish frameworks for automated patching and version upgrades for AWS Lambda and RDS to ensure zero touch maintenance. Engineering Excellence: Champion Infrastructure as Code (Terraform/Ansible) and CI/CD (GitLab) best practices, mentoring engineers to improve overall code quality and deployment velocity. Security Hardening: Proactively manage CVEs by identifying and upgrading out of support tools and provider libraries. Stakeholder Partnership: Collaborating with cross functional teams to translate business requirements into scalable architectural patterns. What we're looking for: You'll be an expert AWS Architect with extensive hands on experience designing and operating production grade AWS environments at scale. You'll have a solid background in traditional infrastructure (compute, storage, networking) applied to cloud native architectures. As well as this you'll have skills and experience in the following areas: Automation Mastery: Expert level proficiency in Terraform and Ansible, with a strong focus on modular, reusable code. CI/CD Specialist: Deep experience building and optimizing pipelines, preferably within GitLab. Identity Expert: Strong working knowledge of identity protocols such as OpenID Connect, SAML and hands on experience with Microsoft Active Directory and AWS IAM. Observability: Hands on experience with Datadog for enterprise wide monitoring and proactive alerting. Agile Tooling: Proficient in using JIRA for task management and Confluence for technical documentation and ADRs (Architectural Decision Records). Preferred Qualifications Multi Cloud: Exposure to Google Cloud Platform (GCP). Retail Sector: Experience in high volume, high availability retail or e commerce environments. Certifications: AWS Solutions Architect Professional or Security Specialty. What's in it for you? Our strong family values and "cornerstones" lie at the heart of the success of our journey. If matching your ambition to our culture is an exciting prospect, there's never been a better time to join us. We're a team. And teams work best together when they know and respect one another. Listen and learn from one another. So we offer a hybrid working model, giving you the support you need to do well at work, and the flexibility to make life work for you. We'll also equip you with a benefits package that includes: Competitive package including an annual bonus 25 Days holiday plus bank holidays Contributory Pension and Life Assurance Flexible Hybrid working (2 3 days in Watford) Save as you earn scheme Colleague discount Discount platform including savings and cash back at numerous retailers, savings on gym membership, cycle to work scheme Our widely recognised wellbeing strategy is something we're proud of at Wickes. As part of this, we offer a range of health and wellbeing benefits and support, including an Employee Assistance Programme, financial education & loans, and access to parental, menopause, and fertility support.

We're looking for a high-calibre Platform Architect to join our team in a permanent capacity to spearhead our long-term infrastructure modernization and governance strategy. This is a "hands-on" architectural leadership role; you'll be the primary custodian of our technical roadmap, responsible for defining high-level strategy and leading the end-to-end execution of complex migrations, automated lifecycle management, and security hardening. As a permanent pillar of the team, you will be the driving force behind enforcing AWS Well-Architected standards across our entire multi-account estate. You will treat the platform as a product-continuously identifying and eliminating technical debt, from decommissioning legacy directory services to upgrading out-of-support libraries. By building and scaling the automated deployment pipelines and robust guardrails that underpin our operations, you will ensure our "seriously digital" future is built on a resilient, secure, and world-class foundation. What you'll be doing: Architectural Ownership: Define and maintain the long-term architectural vision for the Wickes cloud platform, ensuring it scales with the business. Governance & Guardrails: Design and enforce automated preventive and detective guardrails (SCPs, AWS Config) across the AWS Organization to ensure continuous compliance. Identity Modernization: Lead the strategic decommissioning of AWS Active Directory and manage the lifecycle of Microsoft Domain Controller upgrades. Automated Lifecycle Management: Establish frameworks for automated patching and version upgrades for AWS Lambda and RDS to ensure zero-touch maintenance. Engineering Excellence: Champion Infrastructure as Code (Terraform/Ansible) and CI/CD (GitLab) best practices, mentoring engineers to improve overall code quality and deployment velocity. Security Hardening: Proactively manage CVEs by identifying and upgrading out-of-support tools and provider libraries. Stakeholder Partnership: Collaborating with cross-functional teams to translate business requirements into scalable architectural patterns. What we're looking for: You'll be an expert AWS Architect with extensive hands-on experience designing and operating production-grade AWS environments at scale. You'll have a solid background in traditional infrastructure (compute, storage, networking) applied to cloud-native architectures. As well as this you'll have skills and experience in the following areas: Automation Mastery: Expert-level proficiency in Terraform and Ansible, with a strong focus on modular, reusable code. CI/CD Specialist: Deep experience building and optimizing pipelines, preferably within GitLab. Identity Expert: Strong working knowledge of identity protocols such as OpenID Connect, SAML and hands-on experience with Microsoft Active Directory and AWS IAM (Identity and Access Management). Observability: Hands-on experience with Datadog for enterprise-wide monitoring and proactive alerting. Agile Tooling: Proficient in using JIRA for task management and Confluence for technical documentation and ADRs (Architectural Decision Records). Preferred Qualifications Multi-Cloud: Exposure to Google Cloud Platform (GCP). Retail Sector: Experience in high-volume, high-availability retail or e-commerce environments. Certifications: AWS Solutions Architect Professional or Security Specialty. What's in it for you? Our strong family values and 'cornerstones' lie at the heart of the success of our journey. If matching your ambition to our culture is an exciting prospect, there's never been a better time to join us. We're a team. And teams work best together when they know and respect one another. Listen and learn from one another. So we offer a hybrid working model. Giving you the support you need to do well at work, and the flexibility to make life work for you. We'll also equip you with a benefits package that includes: Competitive package including an annual bonus 25 Days holiday plus bank holidays Contributory Pension and Life Assurance Flexible Hybrid working (2-3 days in Watford) Save-as-you-earn scheme Colleague discount Discount platform including savings and cash back at numerous retailers, savings on gym membership, cycle to work scheme Our widely recognised wellbeing strategy is something we're proud of at Wickes. As part of this, we offer a range of health and wellbeing benefits and support, including an Employee Assistance Programme, financial education & loans, and access to parental, menopause, and fertility support. About Us: Wickes is a digitally-led, service-enabled home improvement retailer. Our purpose is to help the nation feel house-proud. We are a business that is 'big on people' and we are committed to creating a culture where anyone can be themselves and feel proud to be part of the Wickes family. Our agile, cross-functional teams work in a supportive, collaborative environment, and we are on a journey to become a 'seriously digital' business, leveraging modern, event-driven architectures (MACH) to deliver a best-in-class experience for our customers and colleagues. We care for our people - and we look out for one another. Everyone has a voice. We're ambitious, but we're inclusive, supportive and down-to-earth with it. Anyone can build on their talent and expect our support to get on. Please contact us here if you require any adjustments within the application process. If you require any reasonable adjustments at the interview stage you will have an opportunity to inform us when we invite you to interview. Please note, this link is only for reasonable adjustments required - general enquiries, or direct CV applications cannot be accepted via this form.

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.

InfoSum is the world's leading data collaboration platform, providing solutions to the world's largest enterprises to allow collaboration across data sources and deliver richer customer experiences that prioritize consumer privacy. Our vision is to unlock data's limitless potential, by enabling the world's data to be connected but never shared. As a people first organization, we can offer you the personal and professional flexibility needed to get the job done, grow with us, and help challenge the status quo. If you want to work with a business that encourages collaboration, and champions the idea that the sum is greater than its parts, then we want to hear from you. The Engineering department at InfoSum is dedicated to delivering high quality, innovative software solutions that meet the needs of our customers and drive the success of our organization. We strive to leverage cutting edge technologies, best practices, and collaborative teamwork to develop scalable, reliable, and user friendly software products. Job Overview As a Backend Software Engineer working as part of our Shield team, you will be responsible for developing and maintaining backend systems and addressing customer issues in a time sensitive manner. You will work closely with cross functional teams to understand the customer needs and deliver robust solutions. This is an exciting opportunity for someone with a passion for backend development and a desire to expand their knowledge to include some front end elements. Core Responsibilities System Design and Architecture: Collaborate with stakeholders to understand requirements and define technical solutions that meet business objectives. Backend Development: Develop clean, efficient and maintainable code in Go, with Python and/or Java a bonus. Implement backend services, APIs, and data processing pipelines following best practices and design patterns. Database Design and Optimization: Design and optimize database schemas, queries, and indexing strategies for performance and scalability. Work with relational databases such as PostgreSQL. Integration and Interoperability: Integrate backend systems with third party services and external APIs to enable seamless data exchange and interoperability. Ensure compatibility and consistency across different system components. Quality Assurance: Implement automated testing and practices to ensure the quality and reliability of backend systems. Collaborate with QA engineers to execute tests and resolve defects in a timely manner. Documentation and Technical Support: Maintain accurate and up to date technical documentation for backend systems. Provide technical support and assistance to other team members and stakeholders as needed. Qualifications 3+ years of experience in backend software development, with proficiency in Go. Knowledge of other languages such as Python or Java is advantageous. Strong understanding of software design principles, data structures, and algorithms. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with database technologies (e.g., SQL) and data modeling concepts. Familiarity with Microservices architecture and Kubernetes. Excellent problem solving skills and ability to troubleshoot complex technical issues. Strong communication and collaboration skills with the ability to work effectively in a cross functional team environment. Self motivated with a strong sense of ownership and accountability. Key Indicators of Success Quality of code Database optimization Integration and interoperability Testing and quality assurance Documentation and communicationli> Continuous learning and improvement Benefits A competitive salary based on your experience and ability to perform in role. 25 days annual leave (excluding bank holidays) + a day off for your birthday + 2 Volunteering days. Private medical insurance. Life assurance - 4x your base salary. Fantastic corporate discounts and mental wellbeing support, including a top of line EAP. Salary sacrifice schemes. Enhanced Maternity, Adoption & Share Parental Leave. We have fantastic offices in Basingstoke and London complete with a fully stocked fridge / snacks and catered lunches 2 times a week. We also reward our teams with monthly socials, 4pm finishes on a Friday & 3pm Fridays finishes during the summer months of June, July and August, 3 extra days off during the Christmas holidays and a culture built on recognition, collaboration and success.

About us One team. Global challenges. Infinite opportunities. At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We're looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team. What you'll do Our team builds data-driven products that directly drive Viasat's revenue growth by transforming how our sales teams operate. We create innovative data and software tools that sales teams use to close more deals and identify new opportunities. As a Software Engineer, you'll develop and help shape the technical direction of our platform ecosystem: web portals, automated document generation systems, and cloud applications that process billions of records. You'll contribute to technical decisions - from selecting frameworks to designing integrations between BigQuery data pipelines, Salesforce, and enterprise authentication systems. Working in a multi-language, hybrid-cloud setting utilising Python, TypeScript, AWS, GCP and more, you'll build high-performance solutions while contributing innovative ideas for future capabilities. The goal is to provide clear user interfaces for a variety of internal and external stakeholders, giving them greater insight into their business and driving efficient workflows. Your work directly influences how hundreds of sales professionals across global business units identify prospects, prioritise opportunities, and close deals. You'll see your contributions translate into measurable outcomes: new contracts won, time saved in sales cycles, and millions in incremental revenue. The tools you build will be used daily by teams in the field. You'll work with Analytics Engineers in your team who build the data pipelines powering your applications, sales teams across business units who provide direct feedback, product and commercial teams who understand customer needs, as well as data engineers and IT teams who help scale solutions. This cross-functional exposure gives you unique perspective on both technology and business context. You'll help scale successful, well-loved tools from MVP stage to enterprise-grade platforms serving new markets, working in a small, collaborative team with startup pace but enterprise resources and mandate. The day-to-day You'll design and implement new products and tools across the full stack, from APIs and service architectures to frontend interfaces. Daily work involves reviewing technical designs with Analytics Engineers, contributing to system integration and design decisions, and writing code in Python and TypeScript from infrastructure through to user interface. A typical day includes building proof-of-concepts for new tools and products, evaluating their fit for the platform architecture, and presenting technical recommendations to the team. You'll investigate and resolve production bugs, optimise web portal performance and rendering efficiency, debug Lambda functions, and refactor components to improve reliability and maintainability. You'll design efficient data patterns in the cloud to handle high-volume datasets and ensure applications remain responsive under load. You'll work alongside team members to define technical requirements for new features, propose implementation approaches, and estimate development effort. This includes supporting integration patterns between systems, implementing authentication and authorisation for enterprise portals, specifying API contracts, and selecting scalable technologies that can grow with the platform. You'll also spend time on infrastructure work: deploying services via Terraform, configuring CI/CD pipelines, architecting document generation systems, and ensuring applications meet performance and security requirements for enterprise deployment. What you'll need Strong Python development experience building production applications Solid AWS experience, including services such as Lambda, ECS/Fargate, S3, and API Gateway Experience deploying and managing containerised applications using Docker Good SQL skills and experience working with data warehouses Hands-on experience with Infrastructure as Code tools, particularly Terraform Proficiency with Git and modern CI/CD workflows Experience contributing to the design and implementation of multi-component software systems What will help you on the job Experience with modern web development frameworks, particularly Next.js, React, and TypeScript Familiarity with Google Cloud Platform services, especially BigQuery Knowledge of enterprise authentication patterns including SSO, SAML, OAuth, and RBAC Experience processing and optimising applications that work with high-volume datasets at scale Background in B2B SaaS, sales enablement tools, or CRM platforms Experience designing and automating ETL pipelines at scale Experience supporting the scaling of MVPs into enterprise-grade platforms Experience working in Agile environments using tools like JIRA Comfort working across the full stack from infrastructure to frontend Understanding of how technical decisions impact business outcomes and user adoption Experience with automated document generation or data visualisation libraries EEO Statement Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.

Role: Lead performance tester Type: Long-term contract Location: UK remote, with occasional client visits as required, travel covered Clearance required: Active SC, or SC + NPPV3 Summary We're building a network of experienced Lead Performance Testers across the UK for upcoming opportunities during the year. This is not an immediate live vacancy, but a proactive market mapping exercise to identify cleared professionals for future client demand. Roles could become active imminently or within 3 months. We are interested in speaking with senior performance testing specialists who can lead performance assurance activities, design effective test strategies, and help clients understand how systems behave under load across complex delivery environments. Candidates must already hold active SC clearance or SC clearance plus NPPV3. Clearance must be current, or within 3 months of expiry. Key responsibilities Lead planning, design, & execution of performance testing activities across complex apps & platforms. Develop performance test strategies covering load, stress, endurance, scalability, and volume testing. Build and maintain reusable performance test scripts, frameworks, and supporting test assets. Work closely with developers, architects, analysts, and infrastructure teams to define performance requirements and acceptance criteria. Analyse system behaviour under load, identify bottlenecks, provide clear recommendations for improvement. Support investigation across application, database, API, and infrastructure layers to understand performance issues and constraints. Produce clear performance test reports, including results analysis, observations, risks, recommendations. Contribute to release readiness decisions by assessing whether solutions meet expected performance and stability thresholds. Support continuous improvement in performance engineering practices, including earlier engagement across the delivery lifecycle. Provide estimates for performance testing effort/help shape realistic test plans and delivery timelines. Essential skills and experience Strong experience in performance testing within enterprise, regulated, or large scale delivery environments. Experience planning and executing different types of performance testing, including load, stress, endurance, and scalability testing. Hands on experience with at least one recognised performance testing tool such as JMeter, LoadRunner, Gatling, k6, or equivalent. Experience designing performance test scenarios for web applications, APIs, and service based architectures. Strong ability to analyse performance results, identify root causes, and explain findings clearly to technical and non technical stakeholders. Good understanding of system architecture, application flows, databases, and integration points from a performance perspective. Experience producing clear documentation, including test plans, scripts, execution reports, and improvement recommendations. Comfortable working independently and collaboratively within cross functional technical teams. Strong communication skills and the ability to engage confidently with stakeholders across delivery, engineering, and operations. Desirable skills and experience Experience with Azure DevOps, Jenkins, or similar delivery and reporting tools. Experience integrating performance testing into CI/CD pipelines. Understanding of cloud based environments and performance considerations across AWS, Azure, or Google Cloud. Experience monitoring and analysing system behaviour using tools such as Dynatrace, AppDynamics, New Relic, Grafana, Prometheus, or equivalent. Knowledge of SQL and database performance analysis. Experience working across distributed systems, microservices, and API heavy environments. Understanding of non functional requirements and service level expectations within secure or business critical systems. Experience mentoring other testers or providing leadership within performance assurance activities. Security clearance requirement Active SC clearance, or Active SC clearance plus NPPV3 Clearance must be live, or due to expire within the next 3 months. This opportunity pipeline is not suitable for candidates who would need to obtain clearance from scratch. InspiredXpert is a specialist IT Talent Solutions company providing high quality contract or perm talent across software development, cloud, AI, cybersecurity, and data driven roles. We connect skilled professionals with innovative companies, offering exciting opportunities to work on impactful projects across the globe.

Join a dynamic product team that continually strives to innovate, develop, and deliver exceptional technology initiatives. As a Product Manager within the Fusion team, you will serve as a crucial point of contact for both clients and internal teams, comprehending their business necessities and technical prerequisites. Your role will involve ensuring a smooth client experience by striking a balance between support, service, and relationship management. Adaptability, innovation, and a dedication to continuous learning are essential in this role to facilitate Fusion's growth. Job responsibilities Provide exceptional support and guidance to clients through various channels (in-person, video conference, email, phone) ensuring they are fully equipped to utilize Fusion capabilities Act as a subject matter expert on Fusion, keeping abreast of latest product developments while providing insights and sharing best practice to clients and internal teams Design and implement efficient processes, including the creation of runbooks, to streamline client interactions and identify opportunities for process automation Develop and nurture strong relationships with clients and internal teams to gain a deep understanding of their business objectives and success criteria Partner with Fusion stakeholders during the implementation process of Fusion solutions, ensuring timely delivery and alignment with client expectations Collaborate with internal teams to identify key stakeholders, set project goals, and ensure accountability throughout the implementation lifecycle Understand the data/technology landscape across Financial Institutions and data management trends and challenges. Required qualifications, capabilities, and skills Proficiency in Python, SQL and familiarity with other database technologies Proven track record of successfully managing client relationships and delivering solutions in a SaaS, Data, or Technology environment Exceptional communication and interpersonal skills, with a strong emphasis on client satisfaction and relationship building Proven ability to work collaboratively within cross-functional teams and independently when necessary Strong problem-solving skills, with the ability to identify issues and determine when escalation is required Experience in providing training and support to clients, enhancing their understanding and utilization of cloud-based data management platforms Comprehensive understanding of enterprise solutions, including cloud technologies, data management, and APIs Bachelor's degree in Business, Data Science, Information Technology, or a related field Preferred qualifications, capabilities, and skills Possession of advanced certifications in data science, cloud computing, or software engineering, such as AWS Certified Solutions Architect, Google Professional Data Engineer, Certified Data Scientist, or Project Management Professional (PMP) Possess knowledge of AI and machine learning methodologies, along with proficiency in AI tools and techniques, to enhance client solutions and drive innovation. Understanding of financial market data and fund services, including familiarity with major data vendors, to effectively address client needs and deliver tailored solutions using comprehensive data sources and analytics specific to the financial and fund services sectors Proven ability to integrate industry-specific insights into client solutions, enhancing the value and relevance of the Fusion platform for financial and fund services clients Strong analytical skills to interpret complex data sets and provide actionable insights that align with client objectives in the financial industry Prior direct vendor experience

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.

Full time Civic Recruitment Limited United Kingdom Posted On 18/05/2026 Job Information Technology / IT / Internet City Hackney Province Hackney Postal Code E2 Job Description 6 Month Contract With A Local Authority Job Purpose To lead the design, delivery, optimisation, and ongoing development of the Council's multi-cloud infrastructure platform across AWS and Google Cloud environments. The role is responsible for ensuring cloud services are secure, scalable, high performing, and aligned with organisational standards, while supporting continuous improvement, automation, governance, and delivery of a high-quality user experience for internal teams and stakeholders. Key Responsibilities Lead the design, implementation, and optimisation of secure, scalable cloud infrastructure and self-service tooling across AWS and Google Cloud platforms. Manage and support the ongoing development and maintenance of the Council's multi-cloud environment. Define and evolve cloud engineering architecture, standards, policies, and best practices in collaboration with enterprise architecture teams. Ensure cloud services meet security, sustainability, financial, governance, and performance objectives. Lead cloud migration projects from traditional infrastructure to cloud-based solutions. Drive automation, continuous integration, and infrastructure-as-code practices to improve efficiency and reliability. Provide technical leadership and strategic guidance to multidisciplinary teams and stakeholders. Develop and enforce cloud governance, security, and operational procedures in line with organisational and cyber security standards. Oversee the planning, installation, maintenance, and support of infrastructure services and cloud platforms. Manage risk identification, assessment, mitigation, and compliance activities relating to cloud infrastructure and security operations. Collaborate with third-party suppliers, partners, and internal stakeholders to align cloud strategy with business objectives. Lead, mentor, and develop Cloud Engineering team members, including direct line management responsibilities. Participate in governance groups including Technical Design Authority and Cyber Security governance forums. Support service delivery and operational management, including participation in out-of-hours support rotas where required. Ensure operational procedures, documentation, and service standards remain current and effective. Requirements Ideally educated to degree level in a relevant discipline. AWS Solutions Architect certification or equivalent practical experience. Google Professional Cloud Architect certification or equivalent practical experience. Extensive experience designing, implementing, and managing cloud infrastructure within AWS environments. Strong experience with multi-cloud platforms, cloud migration, automation, CI/CD, and infrastructure-as-code practices. Strong understanding of cloud security operations, governance, compliance, and risk management. Experience leading complex cloud engineering and solution architecture projects. Proven leadership and people management experience, including mentoring and team development. Strong understanding of systems integration, software development, and enterprise infrastructure management. Excellent stakeholder management, communication, and influencing skills. Ability to work collaboratively across multidisciplinary teams and external suppliers. Experience developing technical standards, policies, and operational procedures. Strong analytical, problem-solving, and decision-making skills. Understanding of agile and iterative delivery methodologies. Knowledge of public sector or local government environments is desirable.

London, United Kingdom Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence - all powered by advanced technology, data, AI and digital innovation. Clients value Baringa's collaborative approach and the way its teams integrate seamlessly - all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World's Best Management Consulting Firms. Our Solutions & AI Labs (SAIL) practice are looking for experienced Consultants to join the team! The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism with the commercial and leadership skills to grow and shape our practice. This is a role for someone who thrives at the intersection of client advisory, technical architecture and hands on delivery leadership - and who has a genuine passion for bringing AI solutions to production at scale. Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Consultant in SAIL, you will own and lead consultancy engagements end-to end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect you to be an expert in all of the below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflects that. AI/ML Specialism You will bring expert level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering Design and build production grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End-to end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit learn, PyTorch, XGBoost) and cloud native ML services (SageMaker, Azure ML, Vertex AI). Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event driven architectures and CI/CD. Track record of delivering production Python services and APIs; working knowledge of cloud native application patterns and release practices. Software Engineering Production grade Python services (FastAPI, AWS Lambda, event driven patterns) and front end development with React/Next.js, Material UI and SWR. Cloud architecture design capability across major providers; rounded understanding of database trade offs - relational, NoSQL, graph and caching strategies. Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security conscious development. A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation, reliability and governance as by the technology itself. Your Skills and Experience We're seeking a technically credible, commercially aware consultant who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale - and who can inspire a team and a client with that same passion. 1-5 years in technology consulting, software engineering or AI/ML SME level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering - with strong architecture and design capability across cloud, data and AI domains. Clear, confident communicator - able to make the complex accessible for technical and non technical audiences alike, and to represent Baringa's expertise with credibility. Master's degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Prior experience as a forward deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector. If you are excited by the opportunity to lead meaningful AI and technology engagements for major clients and thrive in a collaborative, people first culture that values both technical rigour and human connection we would love to hear from you. All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further. For UK & EU Your personal data will be retained by Baringa for up to two years, in accordance with our UK Recruitment Privacy Notice / EU Recruitment Privacy Notice, to evaluate your application and meet our legal and reporting obligations. In line with the General Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal limitations) of your personal data. For more information, please contact us at For the USA Your personal data may be retained by Baringa for up to two years, as outlined in our Recruitment Privacy Notice (AMER & APAC), to support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and state laws, you may have the right to request access to or correction of your personal information. For further details, please contact Your personal data will be retained by Baringa for up to two years, in accordance with our Recruitment Privacy Notice (AMER & APAC), to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and Singapore's Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your personal data. For more information, please contact us at

# Senior Consultant - Data ArchitectLocation: London, United KingdomEmployment Type: Full-TimeIndustryJob Family: TechnologyCareer Level: Experienced Architect and implement end-to-end data solutions that address complex business problems, from data ingestion and processing to analytics and visualisation Collaborate with cross-functional teams to design, develop, and maintain scalable data pipelines and ETL processes to support analytics, business intelligence and data science initiatives Design data solutions that integrate both modern and legacy platforms, ensuring seamless data flow and accessibility Develop and maintain conceptual, logical, and physical data models (dimensional, relational, and/or data vault) Establish architectural best practices covering security, performance, scalability, and cost optimisation Design and own end-to-end data architecture solutions aligned to business and technology strategy Provide technical leadership, architecture governance, and design documentation across data initiatives Develop and maintain data models, schemas, and metadata repositories Implement robust data quality frameworks and governance policies to maintain data integrity, security, and compliance throughout the data lifecycle Leverage AI technologies to enhance data solutions through intelligent automation, anomaly detection, and predictive data quality monitoring, while ensuring ethical AI practices and governance Translate complex data insights into compelling visual narratives and actionable recommendations for both technical and non-technical stakeholders Adopt and communicate new concepts, ideas, techniques, and best practices, including prototyping new architecture methods, tools and products that might provide future value to our clients IDEALLY, WE'D LIKE: Total Rewards associated with this position include a comprehensive benefits package designed to support your well-being and financial security. Unique perks include flexible time off, a private medical plan, a health cash plan, a workplace savings scheme (including ISAs and GIAs), and enhanced parental leave. Applicants must be authorized to work in the United Kingdom, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position. North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.This role is primarily responsible for delivering data and analytics work using modern data platforms and analytical techniques. YOU WILL: MAKE STRATEGY A REALITY ACCELERATE YOUR GROWTH CHOOSE YOUR PATH As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last. We're seeking a Senior Consultant - Data Architect in London in Technology & Data to help us take vision to value and create lasting impact. SUMMARY Bachelor's or foreign equivalent degree in computer science, computer engineering, data engineering, or a related field 5+ years of experience in data engineering, including designing and implementing ETL processes, data pipelines, and data storage solutions, ideally with 2+ years of experience leading data engineering projects or workstreams Extensive experience with cloud platforms and their data services, with relevant cloud data engineering certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate) Knowledge of data governance principles and best practices Experience working with data visualisation techniques and tools (e.g., PowerBI, Tableau, Looker) and deploying enterprise-wide analytics dashboards Experience with AI and machine learning integration in data solutions, including working knowledge of AI governance frameworks and ethical considerations Demonstrated ability to translate data insights into business value and communicate complex technical concepts to executive stakeholders Strong ability to work independently and collaboratively in a dynamic, hybrid environment Strong communication skills and ability to translate complex technical concepts to non-technical stakeholders Travel: regional travel expected on an as-needed basis, depending on client needs, up to 50%

Sr Generative AI Engineer Location: London About The Role Dataiku is the platform for AI success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack-empowering organizations to run AI across multi-vendor environments with centralized governance. The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. As a Sr Generative AI Engineer on the ED&A team, you will build the agentic AI systems that change how Dataiku runs internally. The role is hands on and end to end, working close to the business, turning real problems into working software, and seeing your solutions through from first conversation to production. How You'll Make an Impact Agentic AI Solution Development & Integration Design end to end AI solutions on Dataiku's platform, leveraging Dataiku Agent Hub, Prompt Studio, LLM Mesh, and Knowledge Banks (Vector Stores), or Python based frameworks where needed. Build and orchestrate multi agent systems using Dataiku's Visual Agents (simple and structured), as well as code based frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK) as appropriate. Integrate and optimize LLM APIs across providers (OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure, open source models via Dataiku's LLM Mesh), applying model routing strategies to balance cost, latency, and quality. Implement Retrieval Augmented Generation (RAG) pipelines, including agentic RAG and GraphRAG, using Dataiku's Knowledge Banks with reranking, dynamic filtering, and document extraction capabilities. Stakeholder Engagement & Delivery Work primarily with the "Revenue" organisation-Sales, BDR, Customer Success, Solutions Engineering, Professional Services, Sales Operations and Marketing (approximately 75% of the role)-and apply proven solutions and approaches more broadly across the organisation (approximately 25%). Engage stakeholders to gather business requirements, then identify the underlying user pain those requirements represent, and design solutions that address both the stated need and the deeper problem. Own projects end to end, from requirements intake and solution design through to build, deployment, and handover. Agent & Tool Development Develop autonomous and semi autonomous AI agents, using Dataiku's Agent Builder, custom Python based architectures (LangGraph, CrewAI, Claude Agent SDK, etc.), or a combination of both. Exercise judgment on when to leverage platform capabilities and when to build custom solutions. Design and build Agent Tools beyond documented examples, including custom API integrations, data retrieval modules, decisioning logic, and automated workflows, pushing past out of the box patterns to deliver solutions tailored to specific business problems. Build, publish, and consume MCP (Model Context Protocol) servers to enable agent to tool integration across systems, including designing custom MCP servers where needed. Develop evaluation and monitoring approaches for agent systems, combining Dataiku's built in capabilities with custom instrumentation to measure reliability, accuracy, cost, and business impact in production. AI Governance & Evaluation Design and maintain evaluation frameworks (evals) for LLM based systems, measuring accuracy, latency, cost, and reliability in production. Adhere to data governance, security, and regulatory compliance requirements (EU AI Act awareness, responsible AI practices) for all AI solutions. Leverage Dataiku's Cost Guard and Quality Guard features to manage LLM spend, enforce usage policies, and maintain output quality standards. Work closely with analytics and data engineering teams to maintain metadata on reference datasets for LLM consumption. Web Application Development Create front end user interfaces for AI applications using HTML, CSS, and JavaScript, within Dataiku's webapps framework, Dataiku Answers for chat based interfaces, or standalone applications built with Vue.js and Node.js. Collaborate on UX design, ensuring internal stakeholders find AI solutions intuitive and responsive. Continuous Learning Provide product feedback to the development team to improve the platform. Stay current with the rapidly evolving AI engineering landscape, agent frameworks, model capabilities, evaluation practices, governance requirements, and tools like MCP and A2A protocols. What You'll Need to Be Successful Technical Proficiency Strong Python skills (including familiarity with typical data science and AI engineering libraries). Hands on experience building agentic AI systems, multi agent orchestration, tool chaining, autonomous decision making, and production deployment of AI agents. Experience with modern agent orchestration frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK, or similar); familiarity with LangChain is relevant but not sufficient on its own. Understanding of RAG architectures (vector databases, embedding strategies, agentic RAG, GraphRAG) and when to apply each approach. Familiarity with MCP (Model Context Protocol) for agent to tool integration, or demonstrated ability to quickly adopt new integration standards. Experience with structured outputs, function/tool calling, and prompt engineering across multiple LLM providers. Web development fundamentals (HTML, CSS, JavaScript); experience with Vue.js and Node.js preferred. Exposure to AI evaluation practices, building evals, monitoring model/agent performance in production, and iterating based on metrics. Comfort with AI assisted development tools (GitHub Copilot, Cursor, Claude Code, or similar). Familiarity with Dataiku a bonus. Educational & Professional Background Bachelor's or Master's in Computer Science, Data Science, Engineering, or a related field; equivalent experience also considered. Demonstrated ability to integrate multiple technologies, optimize workflows, and deliver user friendly AI solutions in a production setting. Soft Skills Strong communication and presentation skills, capable of collaborating effectively with both technical and non technical stakeholders. Problem solving mindset with a passion for innovation and delivering measurable business value. Openness to learning new tools (e.g., Dataiku) and adapting to a rapidly evolving AI landscape. Equal Opportunity Employer Statement At Dataiku, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other protected characteristic in the locations where we operate. If you need assistance or an accommodation, please contact us at reasonable .