Duration: TBC
Location: Remote
Rate: up to £565.80 p/d Umbrella inside IR35
Clearance required: Active SC Clearance is required
Role Purpose / Summary
The Lead Engineer will lead and manage the AI Enablement engineering team, supporting delivery of the Client's Enterprise AI Gateway and wider AI enablement capability. The role combines development management, software design, line management, coaching and continuing professional development (CPD), with hands-on engineering when necessary. Working with principal engineers, programmers and delivery leads, the role ensure appropriate engineering methods are used and undertake technical approvals and assurance within its remit. The team's delivery context includes an AI Gateway, AWS Bedrock, identity and access management, model integration, observability, policy enforcement, cost management and agentic engineering tooling.
Key Responsibilities
- Lead the activities of the AI Enablement engineering team, coordinating delivery of the Enterprise AI Gateway and wider capability, and ensuring appropriate development methods and engineering standards are used.
- Line manage engineers, coach the team and support continuing professional development, including performance management and working with senior colleagues to manage reward.
- Oversee onboarding and offboarding of technical staff.
- Keep professions data up to date for the team, including skills matrices, professions role descriptions and workforce plans.
- Guide software design and take a hands-on approach when necessary, supporting model and gateway integration, identity and access controls, agentic tooling, evaluation and observability.
- Support and conduct assurance activities, ensure quality management practices are followed, and provide document and technical approvals within the role's agreed remit.
- Work with architecture, cyber security, FinOps and platform teams to ensure secure, resilient, scalable, observable and supportable services, supporting live-service assurance and incident response as necessary.
- Experience leading engineering team activities and managing software delivery, selecting appropriate methods and working with principal engineers, programmes and delivery leads to plan and build teams.
- Experience line managing engineers, coaching and supporting CPD, managing performance and working with senior colleagues on reward processes.
- Experience acting as a hiring manager, onboarding and offboarding technical staff, and maintaining skills matrices, professions role descriptions and workforce plans.
- Experience leading software design, reviewing technical documentation and providing technical approvals within an agreed remit, alongside supporting and conducting engineering assurance and quality management activities.
- Hands-on software development experience using a modern language such as Python, TypeScript/Node.js, Java or Go, with the ability to contribute when necessary and guide secure API and integration design.
- Practical experience building AI-enabled applications, platforms or services, with an understanding of LLM integration and evaluation, and AWS or comparable public-cloud delivery.
- Experience designing secure, observable and supportable live services, and eligibility to hold SC clearance.
- Hands-on experience with Cloudflare AI Gateway or a comparable LLM gateway or control-plane technology.
- Experience with AWS Bedrock and integrating multiple foundation-model providers.
- Experience building AI agents, tool-using systems, Model Context Protocol integrations or multi-step agentic workflows.
- Experience with retrieval-augmented generation, embeddings, vector search or enterprise knowledge integration.
- Experience designing LLM evaluation, guardrails, prompt management and AI observability.
- Experience with Entra ID, OIDC, OAuth2, enterprise RBAC, OpenTelemetry, Splunk or Prometheus.
- Experience with Terraform, Docker, Kubernetes or ECS, automated CI/CD and regulated or government environments.
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