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Senior Consultant – Applied AI Engineer
Location: London / Manchester / Birmingham / Edinburgh / Belfast – Hybrid with client‑site travel
Contract: Permanent, full‑time
Role purpose
Operate as a hands‑on engineer within a squad, taking ownership of defined components and delivering AI capabilities (e.g., agents, RAG pipelines) that meet enterprise standards for reliability, security, and observability. Strengthen foundations through the Applied AI Engineering Academy while increasing responsibility for solution shaping and stakeholder engagement.
What You’ll Do
Client‑facing engineering & delivery
* Collaborate with business and technology stakeholders; translate requirements into engineering tasks; support workshops, demos, and solution reviews; drive adoption through testing and iteration.
Solution design & implementation
* Design and implement RAG pipelines, agents, microservices, and integrations; apply monitoring, evaluation, and Responsible AI guardrails.
Product mindset & continuous improvement
* Shape MVP scope, backlog, and release planning; capture reusable patterns and contribute to shared accelerators.
What we’re looking for
* Strong Python/TypeScript; async patterns; API design; testing/CI; microservice fundamentals.
* Hands‑on LLMs, embeddings, vector databases; retrieval strategies and grounding.
* Cloud engineering (Azure preferred), Docker/Kubernetes, serverless; secure networking/IAM.
* Data engineering fundamentals (Spark/Databricks; ETL/ELT) and operational handover.
* Consulting behaviours: stakeholder engagement and clear, client‑ready communication.
Nice to have
* Document/graph stores; streaming (Event Hub/Kafka); cloud architecture exposure and governance credentials.
Travel & working model
Hybrid with periodic client travel across the UK and occasional international travel.
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