Lead Engineer - Al Enablement

Job Title: Lead Engineer - AI Enablement (AWS, Python/TypeScript, AI Gateway) Location: Remote (UK-based) Rate: Negotiable / Competitive (Inside IR35) Duration: 6 Months Initial Clearance: SC Clearance Required - this must be active and have been used on a government project within the last 12 months.

Overview: We are seeking a Lead Engineer (AI Enablement) to guide an engineering team delivering an Enterprise AI Gateway and central generative AI capabilities for a high-profile public sector organisation. The role combines software design, development management, technical assurance, and hands-on engineering across cloud platforms, LLM integration, and agentic tooling.

Key Responsibilities

Lead the AI Enablement engineering team, set engineering standards, and conduct technical assurance and approvals. Guide software design for production backend services, APIs, identity/access controls, and agentic workflows.

Line manage engineers, manage performance, support CPD, lead technical recruitment, and maintain workforce plans. Oversee delivery across AWS Bedrock, AI Gateways, model integration, observability, cost controls, and security.

Partner with Architecture, Cyber Security, FinOps, and Operations to deliver secure, resilient live services. Key Skills & Experience Required: Proven track record leading software engineering teams, managing delivery, and line-managing engineers.

Hands-on proficiency in modern languages: Python, TypeScript / Node.js, Java, or Go. Practical experience building AI-enabled services, integrating LLMs, model evaluation, and prompt/context management. Hands-on experience with AWS (specifically AWS Bedrock or comparable foundation model platforms).

Strong knowledge of OAuth2/OIDC, IAM, RBAC, and telemetry (OpenTelemetry, Splunk, Prometheus). Active SC Clearance (or immediate eligibility). Desirable

Skills

Experience with Cloudflare AI Gateway or custom AI proxy/gateway technologies. Experience building AI agents, tool-using systems, or Model Context Protocol (MCP) integrations. Experience with RAG, embeddings, vector search, or enterprise knowledge integration.

Infrastructure automation using Terraform, Docker, Kubernetes/ECS, and CI/CD pipelines. AMRT1_UKTJ ...

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