Senior Forward Deployed Engineer (AI)

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

I’m working with one of the UK’s leading wealth management platforms. They’re now investing heavily in AI and building a brand-new AI Deployment function to turn the company’s AI strategy into real production capability. This is one of the first senior hires into the team, giving you the opportunity to help shape how AI is deployed across the business from the ground up.

Key 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

Experience required:

• 5+ years’ software engineering experience 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
• Understanding of model selection, token economics, caching, batching and latency optimisation
• CI/CD, containerisation, monitoring and alerting for AI workloads
• Strong data processing and pipeline fundamentals