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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Technical Lead (Solutions and Engineering) - **Company:** Financial Conduct Authority - **Location:** London, UK - **Experience:** Expert - **Salary:** £59,200.0 - £88,600.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automated Storage and Retrieval Systems, Cloud Engineering, Code Review, Continuous Integration, Data Sharing, Distributed Systems, Knowledge Management, Software Product Management, Software Deployment, Data Streaming, Systems Integration, Software Technical Review, Value Engineering, Management of Software Versions, Retrieval-Augmented Generation, Large Language Models, Event Driven Architecture, AI Platforms, Production Code, Human in the Loop - **Published:** October 1, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ea8731cfd29d61b7 ## About the Role * A solid practical background as a staff, principal or lead engineer delivering complex production systems * Experience designing cloud-native architectures across APIs, distributed systems, events or workflow platforms Experience leading internal or supplier engineers through design review, code review and coaching * Essential: * Taking AI-enabled and data-intensive products from proof of concept to fully operational and supported services * Developing robust, production-ready code with security by design, observability, testing and CI/CD * Integrating enterprise systems while balancing rapid MVP delivery with sustainable architecture * Making clear, well-documented technical decisions and constructively challenging assumptions and approaches * Designing systems that maintain human oversight, auditability and accountability for decisions * Driving knowledge management and ensuring effective transfer of technical expertise into permanent organisational ownership Particularly valuable: experience with AWS Bedrock and AgentCore; RAG, agentic workflows, LLM judges and evaluation-driven development and human-in-the-loop systems. Designing controlled learning and adaptation loops in which operational outcomes can generate lessons, skills or changes to prompts, tools and workflows, with evaluation, versioning, approval and rollback before production deployment. Entity resolution, temporal modelling, provenance, event driven architectures, graph or knowledge architectures - including decision-record patterns. Regulated, public-sector or high-accountability delivery. * ## Description We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you'll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services. The Data, Technology and Innovation (DTI) division enables the FCA to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency. The AI Product Delivery Department (AIPD) exists to transform FCA business processes through AI, safely and at scale. It provides the product-led capability to meet growing organisational demand, moving work from promising AI experiments into live, adopted services. Its operating model combines portfolio and value management, platforms and engineering, and three cross-functional delivery pods focused on Authorisations, Supervision and Enforcement priorities. The Products and Delivery Team owns pace, execution and adoption: turning validated business problems into secure products, embedding AI into real workflows, using evaluation, provenance and go-live discipline You will provide hands-on technical leadership for one pod. You will translate product outcomes into a coherent, secure and operable solution, leads internal and supplier engineers, and ensures the product can move from MVP to production without avoidable architectural rework. Role responsibilities * Lead the pod's technical execution, translating product outcomes into implementable solutions, guiding engineering decisions, maintaining clear technical decision records and aligning delivery pragmatically with shared FCA platform standards, enterprise constraints and long-term sustainability * Shape the technical foundations of a newly established AI Product Delivery function and, together with the Platforms and Engineering team, defining engineering standards, reusable patterns and delivery approaches that will influence multiple AI products across the organisation * Translate product and operational requirements into scalable end-to-end solutions spanning user journeys, APIs, events, data flows, AI services and enterprise integrations, ensuring technology delivers measurable business value * Conduct technical design reviews, supplier engagement, code reviews, assurance activities and engineering oversight while mentoring teams and remaining hands-on enough to validate critical assumptions ensuring internal and supplier engineers operate to industry best practice and FCA strategic standards, while promoting effective knowledge transfer, mentoring and sustainable code ownership * Drive intelligent technology decisions by selecting the most appropriate approach across deterministic software, workflow automation, retrieval systems, foundation models and agentic solutions * Design how deterministic services, workflow orchestration, specialised agents, tools, memory and human approval operate as one governed system, applying the minimum level of agency necessary for the use case * Design for evidence and provenance where the risk tier requires it: traceable inputs, source evidence, tool calls, outputs, approvals, versions, corrections and replay * Own the integration, drawing on shared data, security and knowledge-architecture specialists rather than duplicating enterprise functions * Define technical readiness - resilience, performance, observability, support and incident handling - and provide the technical readiness view for go-live. Present progress and summaries to non-technical staff up to senior leadership team and beyond as required * ## Related Videos - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [This App Reached 10,000 Users in One Week. 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