Lead AI Engineer

Join the Financial Conduct Authority (FCA) as a Lead AI Engineer. In this role, you will be instrumental in shaping the future of UK financial services by delivering a secure, agile, and cost-effective technology and data ecosystem. You will work alongside the wider AI Programme, partnering with business leads to deliver work in priority areas such as Authorisations, SPC, EMO, and Anti-Money Laundering. Your responsibilities will include standardizing and advancing reusable AI solution patterns, establishing end-to-end technical architectures for LLM-enabled systems, and enhancing CI/CD pipelines for AI systems. You will also define monitoring, observability, and operational strategies, set standards for prompt engineering, and collaborate with senior stakeholders to deliver analytics-led solutions.

• Standardiser et faire progresser les modèles de solutions d'IA réutilisables et les architectures de référence, en améliorant la cohérence entre les équipes et la qualité de la livraison.
• Établir des architectures techniques de bout en bout pour les systèmes habilités par LLM, couvrant les pipelines de données, la récupération/RAG, l'orchestration des invites et les flux de travail des agents.
• Collaborer avec des parties prenantes senior pour livrer des solutions axées sur l'analytique, abordant les défis réglementaires et générant un impact organisationnel.
• Experience Leading Engineering teams: providing technical guidance, aligning on standards/patterns, and adapting plans to resolve delivery and operational challenges
• Demonstrable capability in prompt design and in setting evaluation/testing approaches for LLM solutions (quality, safety/guardrails and performance), including defining measurable success criteria
• Direct experience building and operating solutions on AWS, including AWS AI services and the supporting platform services required for production delivery
• AI engineering experience delivering LLM-enabled systems using LLM APIs/Bedrock, including RAG architectures, vector databases and orchestration frameworks
• Extensive backend engineering experience building production services such as APIs and microservices with solid software engineering fundamentals combined with experience developing technical architecture and designs and taking them through enterprise review processes
• DevOps skills including CI/CD pipelines, containerisation and monitoring/observability, with experience defining release and operating practices for AI services
• Working knowledge of modern DevOps practices such as CI/CD, containerisation and monitoring with experience collaborating with engineers to deliver iteratively
• Solid backend engineering experience, with experience designing, building and running reliable services in production (performance, resilience and security)
• Experience delivering cloud solutions on AWS including deploying, operating and troubleshooting services in live environments