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Lead AI Engineer

External
fca logoFca · London, UK
Part-timeHybrid2w ago
AgileAWSCI/CDMicroservicesObservabilityPrompt Engineering
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Responsibilities

  • Standardise and advance reusable AI solution patterns and reference architectures, improving cross-team consistency and delivery quality to enable more reliable and scalable product development
  • Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation
  • Analyse complex constraints across product, data, security, legal and operations, translating them into clear standards and recommendations to enable delivery of highly complex AI solutions
  • Enhance CI/CD pipelines for AI systems, introducing automation, traceability and controlled release processes to ensure safe and repeatable deployments.
  • Define monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution
  • Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges
  • Advance digital and data-driven methods by shaping organisational practices and innovation efforts that produce measurable improvements in performance and efficiency
  • Collaborate with senior stakeholders to deliver analytics-led solutions, addressing regulatory challenges and generating organisational impact to contribute to improved decision-making and long-term economic outcomes
  • Skills required
  • Minimum:
  • 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
  • Experience delivering cloud solutions on AWS including deploying, operating and troubleshooting services in live environments
  • Working knowledge of modern DevOps practices such as CI/CD, containerisation and monitoring with experience collaborating with engineers to deliver iteratively
  • Essential:
  • Solid backend engineering experience, with experience designing, building and running reliable services in production (performance, resilience and security)
  • 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
  • DevOps skills including CI/CD pipelines, containerisation and monitoring/observability, with experience defining release and operating practices for AI services
  • 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

Benefits

28 days annual leave plus bank holidaysHybrid model where employees work a minimum of 40% in the office each month (expectation of 50% for senior leaders). Changing from September to a minimum of 50% in the office each month (expectation of 60% for Directors and Executive Directors)Non-contributory pension (8-12% depending on age) and life assurance at eight times your salaryPrivate healthcare with Bupa, income protection, and 24/7 Employee Assistance35 hours of paHealth insuranceVision insurance

Additional Information

Job Title: Lead AI Engineer Division: Data, Technology and Innovation Department: AI Product Delivery Salary: National (Edinburgh and Leeds) ranging from £72,100 to £108,000 and London from £79,300 to £120,000 per annum (salary offered will be based on skills and experience) This role is graded as: Technical Specialist - Regulatory Your external recruitment contact is Benjamin via benjamin.paulon@fca.org.uk. Your internal recruitment contact is Lauren via Lauren.Pyrah@fca.org.uk Applications must be submitted through our online portal. Applications sent via social media or email will not be accepted. About the FCA and team 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. Working alongside the wider AI Programme (which will continue to oversee/coordinate AI activity across the FCA), the department will partner with business leads to shape and deliver work in priority areas - Authorisations, SPC, EMO and Anti‑Money Laundering.

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