AI Lead Engineer

Role : AI Lead Engineer Location: London, UK Type of Role: Contract Mode of work: 2 Days onsite in Week ( Exp Range 9+) JD: * Design agentic AI architectures using multi‑agent orchestration patterns (planner‑executor,…

Pay rate £500 – £530/day
Contract type Contract
Posted 1 September 2026

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About this contract

Role : AI Lead Engineer

Location: London, UK

Type of Role: Contract

Mode of work: 2 Days onsite in Week

( Exp Range 9+)

JD:

* Design agentic AI architectures using multi‑agent orchestration patterns (planner‑executor, supervisor‑worker, tool‑using agents).

* Define reference architectures for enterprise agent platforms integrating LLMs with systems of record (core banking, CRM, risk, payments).

* Design audit‑ready agent interactions, tool usage logs, and decision provenance.

* Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns).

* Hands‑on expertise with agentic frameworks (orchestrators).

* Experience with LLMs, prompt engineering, tool/function calling, memory management.

* Exposure to AI quality metrics: task success rate, groundedness, containment, FCR.

* Experience on Google Cloud Platform (preferred) or equivalent hyperscale.

* Deep understanding of LLMs, generative AI, RAG patterns, vector databases, embeddings, and prompt/guardrail engineering.

Desirable skills/knowledge/experience: (As applicable)

* Build Production Grade Agentic AI applications and necessarily have navigated through security, governance and performance management of the end to end model.

* Strong understanding of regulated financial services environments.

* Proven experience implementing AI risk controls, model governance, and auditability.

* Strong experience designing end‑to‑end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring.

* Hands‑on expertise with cloud AI platforms (GCP).

* Strong knowledge of LLMOps practices, including CI/CD for models, model registries, feature stores, lineage tracking, and observability.

* Experience architecting scalable real‑time, batch, and streaming inference systems with clear performance and reliability requirements.

* Familiarity with secure cloud patterns, IAM, VPC design, and data protection.

* Work with solution Architect and implement design along with team of engineers to ensure MVP delivered for Customer business banking usecases in onboarding / Credit assist

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