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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & AI Solution Architect - Generative AI Products & Delivery - **Company:** EXL - **Location:** London, UK - **Experience:** Experienced - **Salary:** £80,243.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Architectural Patterns, Microsoft Azure, Cloud Engineering, Information Technology Consulting, Data Architecture, Data Transformation, DevOps, Meta-Data Management, Software Product Management, Software Deployment, Software Engineering, Management of Software Versions, Workflow Management Systems, Large Language Models, Multi-Agent Systems, Generative AI, Data Management, Machine Learning Operations, Virtual Agents, Databricks - **Published:** September 16, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5885923395 ## About the Role The ideal candidate will have a proven track record of architecting and deploying production-grade GenAI solutions for complex client environments. You will combine deep technical expertise in LLMs, Agentic AI, and enterprise architecture with the ability to engage senior stakeholders and translate business challenges into scalable, secure, and compliant AI solutions., * 7+ years of experience in technology, architecture, or engineering roles. * Minimum 3 years of hands-on experience delivering Generative AI solutions in production environments. * Demonstrable experience successfully designing and launching multiple enterprise GenAI implementations beyond proof-of-concept stage. * Strong expertise in LLM ecosystems including OpenAI, Anthropic, Gemini, and related model platforms. * Hands-on experience with RAG architectures, Agentic AI frameworks, and orchestration tools such as LangChain, LangGraph, AutoGen, and CrewAI. * Proven experience applying Agile delivery, DevOps, MLOps, and LLMOps practices to enterprise AI programmes. * Strong cloud architecture experience across Azure, AWS, or GCP. * Experience in model deployment, monitoring, observability, governance, versioning, and operational support. * Excellent stakeholder management skills with proven experience engaging clients and senior business leaders. * Strong understanding of enterprise security, risk management, and responsible AI principles. Skills and Personal attributes we would like to have: * Banking, Financial Services, or other highly regulated industry experience. * Experience delivering AI solutions in areas such as risk, compliance, fraud, customer operations, lending, or regulatory reporting. * Data architecture, data modernisation, data platforms, or lakehouse expertise. * Experience supporting large-scale cloud migration or transformation programmes. * Knowledge of AI governance, model risk management, and regulatory requirements within financial services. * Exposure to modern AI-native platforms and frameworks including Azure AI Foundry, Vertex AI, Bedrock, Databricks, or Palantir. * Strong consulting and problem-solving mindset. * Ability to balance strategic architecture with hands-on technical delivery. * Excellent communication and presentation skills. * Commercially aware and client-focused. * Comfortable working in fast-paced, evolving technology environments. * Passionate about innovation and the practical application of Generative AI within enterprise organisations. ## Description This role is ideally suited to professionals from leading technology consulting firms, global systems integrators, AI product companies, or specialist AI consultancies who have spent the last several years delivering GenAI initiatives from concept through to production deployment. As part of your duties, you will be responsible for: * Lead the end-to-end architecture, solution design, and delivery of Generative AI and Agentic AI solutions for banking clients. * Translate business requirements and regulatory considerations into scalable, production-ready AI architectures. * Design and implement advanced GenAI solutions, including: + Retrieval-Augmented Generation (RAG) + Multi-Agent Systems + Intelligent Document Processing + Knowledge Management Platforms + Enterprise Workflow Automation * Define architecture patterns, governance standards, security controls, and best practices for enterprise AI adoption. * Apply GenAI capabilities to areas such as data transformation, metadata management, customer service, risk, compliance, operations, and process automation. * Collaborate with engineering, data, cloud, and business teams to ensure successful delivery and adoption. * Drive solution assurance across the full software development lifecycle, including architecture reviews, testing, deployment, monitoring, and optimisation. * Facilitate client workshops and present technical solutions to both executive and technical stakeholders. ## Related Videos - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [The shadows that follow the AI generative models](https://www.wearedevelopers.com/videos/624-the-shadows-that-follow-the-ai-generative-models) ## Related Articles - [Got AI ideas but no money? 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