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

Janus Henderson is undertaking a firm-wide AI transformation programme to embed AI capabilities across every business function and become the most technologically sophisticated asset manager in the world. The AI Academy has already been established with a focus on helping users consume AI inside M365. Our next major expansion is to move from user self service to Forward deployed engineers (Business Partners) to encode AI into the way core business processes are delivered and operated.

The Head of AI Business Partners will lead the program’s expansion, partnering with executive leadership and subject matter experts to drive agentic workflow improvements. You’ll collaborate with Technology teams to promote modern AI tooling and knowledge sharing, and work with Percepta and the AI technology team to maximize AI-native application development using the firm’s proprietary tools, including NEXUS.

This role is at the heart of our AI transformation—not only training or governance. It sits at the intersection of hands-on technical credibility, program design, and change enablement — helping the business work differently and accelerate our AI transformation. You’ll tackle high-impact projects, spread innovation across the organization, and lead a dynamic team of 8 AI Business Partners. As the primary bridge between business units and central AI, you’ll drive strategy, accelerate adoption, and deliver solutions, directly shaping our future alongside the Head of AI.

Your primary toolkit includes the modern AI engineering stack—coding agents, agentic harnesses, MCP, in-platform AI in Snowflake and Databricks, and the firm’s proprietary NEXUS platform. However, our AI strategy is platform-agnostic, and you’ll be expected to evaluate, learn, and deploy new tools as the landscape evolves.

Key Responsibilities

• Design and lead the AI Business Partners model, establishing a robust foundational program for all stakeholders to rapidly deploy agentic solutions to every day business problems
• Act as lead AI Business Partner for Technology (covering tools, models, agentic patterns, and cross-persona level-setting), alongside tailored tracks for app engineers, data engineers, architects, security specialists, product owners, and analysts; ensure the curriculum accelerates AI adoption while understanding technology guardrails and governance best practices across all functions
• Design and lead the Technology cohort — the technologist equivalent of Air Traffic Controllers — running them through the material first, iterating with their feedback, and equipping them to cascade training through their teams
• Run hands-on, workshop-style sessions grounded in participants’ real sprint work covering coding agents, agentic CI/CD, planning with LLMs, spec writing and verification, long-running agents, and team-level skill sharing (CLAUDE.md, SKILLS.md, shared prompt libraries)
• Collaborate with Technology teams including Security, and Architecture to proactively identify and resolve adoption blockers—such as acceptable-use guidance, access pathways, budget signals, and approved tools—ensuring Business Partners have clear, frameworks to experiment confidently while upholding technology guardrails and governance standards
• Actively contribute to AI initiatives and hands-on solution delivery while simultaneously managing, advocating, and guiding the AI Business Partners team; foster a culture of responsible innovation, continuous learning, and adherence to technology governance by modelling best practices and providing strategic leadership
• Develop and implement appropriate metrics within the AI Academy framework: pipeline telemetry (deploy frequency, lead time, change failure rate, time to restore), survey-based signals (focus time, perceived effectiveness), and adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway
• Continuously research and monitor the rapidly evolving AI engineering landscape—including coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA metrics, and industry studies—critically evaluate emerging trends and translate relevant findings into practical, evidence-based curriculum enhancements for the AI Academy
• Collaborate with the Innovation and, Technology teams (including Cyber Security), and the business end users to ensure that curriculum, tools, and patterns taught within the AI Academy are aligned with the firm’s governance, data privacy, and compliance framework, while supporting responsible and scalable AI adoption across the organization