Senior AI Deployment Engineer — Production-Ready LLMs

Oliver Bernard; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Oliver Bernard in Greater London is partnering with a leading wealth management platform to establish a new AI Deployment function. This senior role shapes how AI is deployed across the business, owning complex projects from concept to production.

You will lead cross-functional collaboration, build scalable AI capabilities, and implement guardrails for safe, efficient, and cost-conscious AI systems.

Qualifications

• 5+ years’ software engineering with meaningful production ownership.
• Proven experience building and shipping LLM-powered systems into production.
• Hands-on experience with LLM APIs, agents, orchestration, tool use, structured outputs and RAG.
• Strong understanding of LLM evaluation, regression testing and quality measurement.
• Experience implementing AI safety and guardrails, including PII, prompt injection and human-in-the-loop approaches.

Responsibilities

• Own AI engagements end-to-end, from identifying the problem through to production and handover.
• Build production-grade AI solutions, including LLMs, pipelines, agents and workflows.
• Develop and implement evals, guardrails, monitoring and cost/accuracy optimisation.
• Deploy ML and AI components into live customer-facing environments.
• Turn successful one-off solutions into scalable, reusable AI platform capabilities.
• Work closely with Data Science, Decisioning, Engineering and non-technical stakeholders

Skills

LLM integration

End-to-end ownership

Production systems

LLM APIs

Tools

CI/CD

Containerisation

Monitoring

Pipelines

Orchestration frameworks

Job description

Oliver Bernard in Greater London is partnering with a leading wealth management platform to establish a new AI Deployment function. This senior role shapes how AI is deployed across the business, owning complex projects from concept to production.

You will lead cross-functional collaboration, build scalable AI capabilities, and implement guardrails for safe, efficient, and cost-conscious AI systems.