Forward Deployed Engineer

Excerpt from the original posting

Why work for us? 
A career at Janus Henderson is more than a job, it’s about investing in a brighter future together. 
Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. 
Our Values are key to driving our success, and are at the heart of everything we do: 
Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust 
If our mission, values, and purpose align with your own, we would love to hear from you! 

Your opportunity 

This is a business-facing engineering role. You will sit with business users, work out what is slowing them down, and turn those problems into AI and data solutions that reach production. The work starts with a conversation at someone’s desk, not a ticket in a queue. 

Janus Henderson is undertaking a firm-wide AI transformation to become the most technologically sophisticated asset manager in the industry. Our AI capability sits in a single centralised function under the Head of AI, and Forward Deployed Engineering is the part of it that embeds with the business and builds what business units cannot stand up alone. You will work alongside the AI Enablement Partners, who surface and triage demand: where they establish what a team needs, you build it. Reporting to the Principal Forward Deployed Engineer, you own your solutions from first conversation to live running. 

The work spans the full stack — sourcing internal and external data, curating it into views that answer the questions a desk actually asks, and making it reusable through Accio, our centralised MCP server. The most advanced work is investment engineering: building quantitative capability on Nexus, our agentic workspace, and taking it from one desk to a firm-wide offering such as relative-value signal generation. Your toolkit spans Python and SQL, LLMs and agent frameworks, MCP, Azure AI Foundry through the AI Team’s model gateway, Snowflake, and Azure with Terraform, Docker, and CI/CD. 

What success looks like

- You ship. What you build reaches production, is used by the business unit you built it for, and stays healthy once live. 
- Business users come to you early enough that you shape the problem rather than receive finished requirements. 
- Capabi…

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