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

Role purpose

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.

What you’ll do

Client‑facing engineering & leadership

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

Solution architecture & implementation leadership

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

Product mindset & continuous improvement

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

What we’re looking for

Essential

• Deep software/systems engineering (Python/TypeScript, 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.

Nice to have

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

Travel & working model

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

Additional educational preference

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

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