Company
financial services
LeadAIEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead AI Engineer. Skills: backend engineering, technical architecture, cloud solutions on AWS, DevOps practices, AI engineering, LLM-enabled systems, prompt design, evaluation/testing approaches for LLM solutions, Leading Engineering teams. Standardise and advance reusable AI solution patterns and reference architectures. Establish end-to-end technical architectures for LLM-enabled systems”
What You'll Achieve.
improving cross-team consistency and delivery quality; enable more reliable and scalable product development; support robust and effective AI implementation; enable delivery of highly complex AI solutions; ensure safe and repeatable deployments; support effective issue diagnosis and resolution; support teams in resolving complex model challenges; produce measurable improvements in performance and efficiency; contribute to improved decision-making and long-term economic outcomes
Industry & Context.
resolve delivery and operational challenges; issue diagnosis and resolution
minimum of 40% in the office each month (expectation of 50% for senior leaders), minimum of 50% in the office each month (expectation of 60% for Directors and Executive Directors) from September
What They're Looking For.
Must Have
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, 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 APIsedrock, 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
What You'll Do.
Standardise and advance reusable AI solution patterns and reference architectures
Establish end-to-end technical architectures for LLM-enabled systems
Analyse complex constraints across product
Enhance CI/CD pipelines for AI systems
observability and operational strategies
Set standards for prompt engineering
evaluation and testing
Advance digital and data-driven methods by shaping organisational practices and innovation efforts
Collaborate with senior stakeholders to deliver analytics-led solutions
How You'll Work.
Team & Collaboration
improving cross-team consistency and delivery quality; partnering with business leads; collaborating with engineers to deliver iteratively; providing technical guidance; aligning on standards/patterns; adapting plans to resolve delivery and operational challenges; collaborate with senior stakeholders
Communication Scope
translating complex constraints into clear standards and recommendations
Process & Methodology
taking technical architecture and designs through enterprise review processes, adapting plans to resolve delivery and operational challenges
Full Job Description
**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 [email protected]. * **Your internal recruitment contact** is Lauren via [email protected] * 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. ** _Role 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 recom
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