AI Technical Lead – Solutions and Engineering

Financial Conduct Authority

. Lead the pod’s technical execution and translate product outcomes into implementable solutions .

Posted 9/29/2026full-timeLondon • United KingdomSenior💰 £53,800 - £88,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing cloud-native architectures, integrating enterprise systems, and leading engineering teams through technical decision-making and knowledge transfer. Proficient in developing AI-enabled solutions with a focus on security, observability, and sustainable architecture.

Highest-signal resume keywords

Cloud-Native Architecture DesignAI-Enabled Product DevelopmentTechnical Decision-MakingEngineering Team LeadershipIntegration of Enterprise Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Systems DeliveryDistributed Systems DesignWorkflow AutomationRobust Code DevelopmentCI/CD ImplementationEvent-Driven ArchitectureHuman-in-the-Loop SystemsAuditability and Accountability DesignKnowledge ManagementTechnical Design Review

Soft Skills

MentoringKnowledge TransferConstructive Challenge

Tools & Technologies

AWS BedrockAgentCoreRAGLLM JudgesGraph ArchitecturesKnowledge Architectures

Industry Keywords

High-Accountability DeliveryPublic-Sector ComplianceSustainable ArchitectureRisk ManagementPerformance Observability

Tech Stack

Tools & technologies

AWSCloudDistributed Systems

About the role

Key responsibilities & impact

Lead the pod’s technical execution and translate product outcomes into implementable solutions
Guide engineering decisions and maintain clear technical decision records
Align delivery with FCA platform standards, enterprise constraints and long-term sustainability
Shape technical foundations, engineering standards, reusable patterns and delivery approaches for AI products
Translate product and operational requirements into scalable end-to-end solutions spanning user journeys, APIs, events, data flows, AI services and enterprise integrations
Conduct technical design reviews, supplier engagement, code reviews, assurance activities and engineering oversight
Mentor internal and supplier teams and promote knowledge transfer and sustainable code ownership
Select appropriate approaches across deterministic software, workflow automation, retrieval systems, foundation models and agentic solutions
Design governed systems combining deterministic services, workflow orchestration, agents, tools, memory and human approval
Design for traceable evidence and provenance where required by risk tier
Own integration with shared data, security and knowledge-architecture specialists
Define technical readiness for resilience, performance, observability, support and incident handling
Provide the technical readiness view for go-live
Present progress and summaries to non-technical staff and senior leadership

Requirements

What you’ll need

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
Experience taking AI-enabled and data-intensive products from proof of concept to fully operational and supported services
Experience developing robust, production-ready code with security by design, observability, testing and CI/CD
Experience integrating enterprise systems while balancing rapid MVP delivery with sustainable architecture
Ability to make clear, well-documented technical decisions and constructively challenge assumptions and approaches
Experience designing systems that maintain human oversight, auditability and accountability for decisions
Experience driving knowledge management and transferring technical expertise into permanent organisational ownership
Particularly valuable: AWS Bedrock and AgentCore; RAG; agentic workflows; LLM judges; evaluation-driven development; human-in-the-loop systems; controlled learning and adaptation loops; entity resolution; temporal modelling; provenance; event-driven architectures; graph or knowledge architectures; regulated, public-sector or high-accountability delivery

Benefits

Comp & perks

25 days annual leave plus bank holidays
Non-contributory pension (8–12% depending on age)
Life assurance at eight times your salary
Private healthcare with Bupa
Income protection
24/7 Employee Assistance
35 hours of paid volunteering annually
Flexible benefits scheme
Flexible working solutions, including part-time and job sharing where applicable
Minimum 50% of working time in the office each month across London, Leeds and Edinburgh offices