AI Lead Engineer

Company: Experis UK
Apply for the AI Lead Engineer
Location: Croydon
Job Description:

Overview

Location: Croydon (once per week in-office)

Duration: 6-12 months (initial)

Security Clearance: Active SC clearance required

Must have: 5+ years of unbroken UK residency

Our client, a leading organisation in innovative technology solutions, is hiring for a reputed client to support a critical AI-focused project. This is an exciting opportunity for a skilled Lead Engineer to shape the future of AI integration within complex systems.

What You’ll Be Doing

  • Providing technical leadership to engineering teams working on AI components, ensuring alignment with architecture and delivery plans.
  • Overseeing technical design decisions, particularly around Large Language Models (LLMs), agentic AI logic, and related components, ensuring scalable and controlled integration.
  • Collaborating with architects to translate high-level solution designs into detailed engineering approaches.
  • Working with delivery managers to identify and manage technical risks, dependencies, and constraints.
  • Reviewing design artefacts, integration plans, and testing strategies to provide assurance across workstreams.
  • Ensuring AI components adhere to SDLC updates, including model validation, safety checks, and governance protocols.
  • Engaging with external AI technology providers to clarify technical requirements and integration considerations.
  • Supporting engineering teams in resolving complex technical challenges related to AI model behaviour, data flows, and system interfaces.
  • Coaching developers and data engineers to maintain quality and consistency.

What You’ll Bring

  • Proven experience leading engineering teams in AI or related fields.
  • Strong understanding of AI components such as LLMs, AI logic, and system integration.
  • Ability to translate high-level designs into detailed technical approaches.
  • Experience managing technical risks and dependencies within complex projects.
  • Excellent collaboration skills with architects, delivery managers, and external providers.
  • Knowledge of SDLC processes, model validation, safety, and governance standards.
  • Effective coaching and mentoring abilities.

Nice To Have

  • Experience working with external AI technology providers.
  • Deep understanding of AI model behaviour, data flows, and system interfaces.

This is a fantastic chance to contribute to a high-profile project within a dynamic environment. If you meet the criteria and are ready to make an impact, we’d love to hear from you!

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Posted: May 19th, 2026