AI Lead Engineer
Posted 2 weeks ago by Experis UK
Negotiable
Undetermined
Hybrid
Croydon, England, United Kingdom
Summary: The AI Lead Engineer role involves providing technical leadership for engineering teams focused on AI components, particularly in the context of Large Language Models and agentic AI logic. The position requires collaboration with architects and delivery managers to ensure effective integration and adherence to governance protocols. Candidates must have a strong background in AI and experience leading teams in complex projects. Active SC clearance and a minimum of 5 years of unbroken UK residency are required.
Key Responsibilities:
- Providing technical leadership to engineering teams working on AI components.
- Overseeing technical design decisions related to Large Language Models and agentic AI logic.
- 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.
- Ensuring AI components adhere to SDLC updates, including model validation and safety checks.
- Engaging with external AI technology providers for technical requirements clarification.
- Supporting engineering teams in resolving complex technical challenges.
- Coaching developers and data engineers to maintain quality and consistency.
Key Skills:
- Proven experience leading engineering teams in AI or related fields.
- Strong understanding of AI components such as LLMs and AI logic.
- Ability to translate high-level designs into detailed technical approaches.
- Experience managing technical risks and dependencies within complex projects.
- Excellent collaboration skills with architects and delivery managers.
- Knowledge of SDLC processes, model validation, and governance standards.
- Effective coaching and mentoring abilities.
Salary (Rate): undetermined
City: Croydon
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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!