Senior​/Lead Applied AI Engineer

Senior Applied AI Engineer (Manager)

Location London CP / Manchester / Birmingham / Edinburgh/ Belfast Hybrid with client‑site travel

Contract Permanent, full‑time

Lead technical delivery across solution threads: set technical direction, mentor engineers, and ensure systems are production‑ready (reliability, observability, security, runbooks). Continue your development through the Applied AI Engineering Academy focused on advanced patterns and engineering leadership.

• Shape engineering approaches; engage senior stakeholders; articulate trade‑offs; ensure engineering quality across squads and complex client environments.

• Architect enterprise‑grade AI services (agents, RAG pipelines, orchestration layers, platform components); ensure operational readiness; drive Responsible AI, evaluation and best practices.

• Mentor engineers; lead technical reviews; establish reference architectures and reusable accelerators; contribute to internal knowledge sharing and external thought leadership.

• Deep software/systems engineering (Python/Type Script, distributed systems, CI/CD).
• Applied‑AI expertise: LLM/RAG engineering; evaluation; telemetry/drift monitoring; versioning and release management.
• Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security.
• Data engineering depth (Spark/Databricks; ETL/ELT); cloud‑native data + AI architectures.
• Enterprise integration and SRE principles (SLIs/SLOs, runbooks, rollback).
• Consulting leadership: stakeholder, budget and risk management; team leadership.

• Graph/big‑data stacks; streaming; cloud architect certifications and Responsible AI governance credentials.

Hybrid with periodic client travel across the UK (and occasional international travel).

A PhD in Computer Science, Applied Mathematics, or Computer Engineering is desirable but not essential.