Forward Deployed Engineer

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.
Capability proven on one desk is exposed through Accio and Nexus so other teams consume it rather than rebuild it.
You need less direction over time, taking on engagements that are less defined and more technically demanding.
Your responsibilities
Embed with the business
Sit with business users — portfolio managers, analysts, traders, marketing, sales, HR, and operations — to understand their workflows, their data, and their day-to-day friction.
Partner with the AI Enablement Partners on escalated demand that business teams and citizen developers cannot deliver themselves.
Set realistic expectations on what is feasible, what it will take, and what it will not do.
Deliver solutions end to end
Design, build, and productionise bespoke, higher-complexity AI solutions, owning them through to live running.
Prototype with the business close at hand, then harden what works into production rather than leaving a demonstration.
Own the architecture and design decisions for your solutions, keeping them secure, scalable, and aligned to the enterprise core stack.
Take solutions through evaluation, observability, and our AI governance checkpoints, and keep them healthy afterwards.
Build investment capability on Nexus
Build advanced investment capability on Nexus and make it available across the firm.
Work with quantitative researchers and investment teams to take models and signals from one desk into a supported, firm-wide capability.
Put validation, monitoring, and reproducibility around signal output investment professionals rely on, and help take citizen developer workflows through to production.
Make data and capability reusable