AI Engineer

Bowden Brown; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Bowden Brown is seeking an AI Engineer to define and deliver production-grade applied AI systems directly impacting research, trading, and business decisions. You will work with portfolio managers, quants, and senior leaders to architect LLM-powered tools integrated into investment workflows and build agentic systems with multi-step reasoning and tool execution.

The role emphasizes shipping production systems, owning the full LLM lifecycle, and mentoring engineers while establishing responsible

Qualifications

• 2+ years of industry experience, with 1+ year deploying production AI systems.

Responsibilities

• Define and execute the technical roadmap for firmwide AI initiatives.

Skills

Python

REST APIs

Microservices

Object-oriented design

Agent frameworks

Collaboration

Education

MS/PhD in CS/AI or related field

Tools

MCP servers

Job description

A leading global investment firm 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

• 2+ years of industry experience with the last 1+ 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

If you are excited about building agentic AI systems that directly influence investment decision-making and want to operate at the intersection of AI engineering and capital markets, I would welcome a confidential conversation.