Forward Deployed Engineer

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.

• Design, build, and product ionise 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 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.

• Source data through APIs, vendor feeds, and enterprise systems, and build the ingestion pipelines that keep it flowing.
• Curate raw data into business-focused views, and own its lineage, quality, and freshness.
• Expose data and capability through Accio, and as skills, tools, and connectors on Nexus, so any approved agent or application can reach them.
• Build reusable components rather than one-off integrations, and feed the patterns back to AI Architecture and AI Engineering.

• Co-build enterprise core-stack deliverables with Percepta and AI Engineering, designed for transfer into business-as-usual.
• Work with AI Security and AI Governance Implementation so solutions meet our security, data-privacy, and responsible-AI standards.
• Keep current with LLM capabilities, agent patterns, and AI tooling, and bring back what is genuinely useful.

• Hybrid working and reasonable accommodations
• Generous Holiday policies
• Excellent Health and Wellbeing benefits including corporate membership to Wellhub
• Paid volunteer time to step away from your desk and into the community
• Support to grow through professional development courses, tuition/qualification reimbursement and more
• Maternal/paternal leave benefits and family services
• All employee events including networking opportunities and social activities
• Lunch allowance for use within our subsidized onsite canteen

• Asset management or financial services domain knowledge, particularly the investment process, front office workflows, or fixed income.
• Quantitative investment concepts such as fair value, relative value, signal generation, or portfolio construction.
• Snowflake, Microsoft Fabric / One Lake, or comparable enterprise data platforms.
• Azure AI Foundry, model gateways, inference routing, or AI evaluation and observability in production.
• Type Script or a second production language, and front-end experience for user-facing AI applications.

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!

These are the paragraphs text rationally from You will sit with business users... until ... Azure with Terraform, Docker, and CI/CD.

• 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…