AI Engineer

Bowden Brown; Greater London; On-site; GBP 120,000 - 190,000; Full time

Job summary

Bowden Brown is sourcing an AI Engineer for a leading global investment firm to design and deliver applied AI systems that impact research, trading, and business decisions.

You will work with Portfolio Managers, quants, and senior leadership to architect production-grade LLM systems and agentic AI across the firm, shipping tools integrated into investment workflows and securely connecting to enterprise data.

Qualifications

• 4+ years of industry experience with the last 2+ years building and deploying production AI systems.
• Advanced degree (MS or PhD) in Computer Science, AI, ML, or related quantitative field.
• Hands-on experience with production LLM applications including evaluation, monitoring, and iteration.
• Strong experience with agentic frameworks and agent design patterns.

Responsibilities

• Define and execute the technical roadmap for firmwide AI initiatives.
• Design, build, and deploy LLM-powered tools embedded directly into investment workflows.
• Architect agentic systems capable of multi-step reasoning, planning, and tool execution.
• Build and operate MCP servers to securely connect AI agents to enterprise data and APIs.
• Own the full LLM lifecycle including prompt and system design, model selection, evaluation, deployment, monitoring, and iteration.
• Lead rapid prototyping using RAG, tool and function calling, and modern agent frameworks.
• Establish best practices for responsible, production-grade AI deployment.
• Mentor engineers and help raise the technical bar across applied AI initiatives.

Skills

Production AI systems

Python engineering

Agent frameworks

REST APIs

Education

MS or PhD in CS/AI/ML

Tools

MCP servers

Agent frameworks

Job description

A leading global investment firm with approximately $12bn AUM is building out its next-generation AI capability and is hiring an AI Engineer to define and deliver applied AI systems directly impacting research, trading, and business decision-making.

This is a high-visibility role working directly with Portfolio Managers, quants, and senior leadership to architect and deploy production-grade LLM and agentic AI systems across the firm.

You will:

• Define and execute the technical roadmap for firmwide AI initiatives
• Design, build, and deploy LLM-powered tools embedded directly into investment workflows
• Architect agentic systems capable of multi-step reasoning, planning, and tool execution
• Build and operate MCP (Model Context Protocol) servers to securely connect AI agents to enterprise data and APIs
• Own the full LLM lifecycle including prompt and system design, model selection, evaluation, deployment, monitoring, and iteration
• Lead rapid prototyping using RAG, tool and function calling, and modern agent frameworks
• Establish best practices for responsible, production-grade AI deployment
• Mentor engineers and help raise the technical bar across applied AI initiatives

This is not a research-only role. You will be shipping production systems that portfolio managers rely on.

What We’re Looking For

• 4+ years of industry experience with the last 2+ years building and deploying production AI systems
• Advanced degree (MS or PhD) in Computer Science, AI, ML, or related quantitative field
• Hands-on experience with production LLM applications including evaluation, monitoring, and iteration
• Strong experience with agentic frameworks and agent design patterns
• Experience building MCP servers or similar AI integration layers
• Excellent Python engineering skills including object-oriented design, microservices, and REST APIs
• Ability to operate independently in a fast-paced, highly collaborative environment

Nice to Have

• Deep curiosity about AI and emerging technologies
• Strong ownership mindset and high ethical standards
• Experience delivering AI tools directly to business stakeholders