AI Business Partner - Builders

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 enabling the firm's builders - engineers, architects, product owners, analysts, data engineers, quants, and platform specialists - to encode AI into the way technology is delivered and operated.

The AI Business Partner for Builders will design and run this expansion. You will define the curriculum, stand up the cohort model, and partner across Technology, Investments, and Innovation to ensure all builders are utilizing modern AI tooling with broad knowledge sharing on best practices and organizational knowledge on the latest developments in AI deployment. You will also work closely with Percepta and the technology organization to extend the program into maximizing the AI-native application development occurring on JHOS.

This is not a purely a training role or governance role. It sits at the intersection of hands on technical credibility, program design, and change enablement - helping builders work differently and accelerate our AI transformation. This will include directly engaging with builders on specific high priority projects, and then extending that learning and knowledge to the rest of the community.

You will report into the Head of Innovation and operate within the AI Academy framework alongside the AI Business Partner team, sharing infrastructure, governance, comms, and the firm wide adoption dashboard.

Your primary toolkit today spans the modern AI engineering stack - coding agents, agentic harnesses, MCP, in platform AI in Snowflake and Databricks, and the JHOS / NEXUS platform Percepta is building - but the firm's AI strategy is platform agnostic. You will be expected to evaluate, learn, and deploy new tools as the landscape evolves.

• Design and run the Builders curriculum: a general foundation for all builders (tools, models, agentic patterns, cross persona level setting) and role specific tracks for app engineers, data engineers, architects, security, product owners, and analysts
• Design and lead the Builders 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
• Partner with Percepta and the Technology org to design Phase 3: enabling engineers to build AI native applications on the JHOS platform, including agent orchestration, governance, and the NEXUS workspace
• 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).
• Partner with Technology, Security, and Architecture to resolve adoption blockers - acceptable use guidance, access paths, budget signals, approved tools - so builders know what is sanctioned and can experiment with confidence
• 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
• Stay current with the rapidly evolving AI engineering landscape - coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA and industry research - and translate what matters into practical curriculum changes
• Collaborate with Technology, Security, and Responsible AI teams to ensure curriculum, tools, and patterns taught are aligned with the firm's governance, data privacy, and compliance posture
• Carry out other duties as assigned
  
  What to expect when you join our firm
• 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
• Must have skills
• Hands on engineering credibility. You have shipped software, and you currently use modern coding agents (GitHub Copilot agent mode, Claude Code, OpenCode, or equivalent) on real work. You can sit down with a senior engineer, pair on their codebase, and add value within the hour
• Working fluency with the modern AI engineering stack - agentic harnesses, MCP, repo level context (CLAUDE.md / SKILLS.md), agentic CI/CD patterns, long running agents, and the tradeoffs between line completion, agent mode, and orchestrated multi agent workflows
• Curriculum design and facilitation experience - you have built and run technical training, workshops, or enablement programmes for engineers and other technologists, and you know the difference between a session people endure and one they apply on Monday morning
• Strong cross persona communication. Equally credible with a staff engineer debating verification strategy, a product owner rewriting a spec for an agent, an architect worried about review throughput, and an SLT sponsor asking about ROI
• Practical change management instincts. You understand that tools and training are only half the job; surfacing and removing adoption blockers - access, acceptable use, budget, fear - is the other half
• Business analysis and measurement literacy. Comfortable with DORA metrics, SPACE, developer experience research, and the difference between adoption (a prerequisite) and value (the goal). You can design a survey, interpret pipeline telemetry, and avoid vanity metrics
• Self directed and comfortable with ambiguity. This effort is brand new; you will define how it runs, with sponsorship but without a detailed playbook
• Strong documentation instincts. You produce reusable curriculum, patterns, and playbooks that outlast your direct involvement and can be picked up by cohort members and other Academy leads
• Experience working in a regulated environment (financial services, healthcare, legal, government) where governance, compliance, and data sensitivity shape how tools are evaluated, approved, and deployed
• Nice to have skills
• Direct experience in financial services or asset management, particularly exposure to investment technology, quant platforms, trading systems, or data engineering in a regulated context
• Experience building or operating AI native applications - agent orchestration, retrieval systems, evaluation pipelines, LLM application architecture
• Familiarity with the Janus Henderson Technology stack or analogous environments: Azure AI Foundry, APIM fronted LLM gateways, Snowflake Cortex, Databricks Genie Code, GitHub Enterprise, Jira / ServiceNow workflows
• Familiarity with the JHOS / NEXUS platform direction or comparable internal AI platforms built on top of foundation models
• Background in developer experience, platform engineering, or internal tooling - where success is measured by other engineers' productivity, not your own commits
• Experience leading a community of practice, internal guild, or cohort based enablement programme
• Product management sensibility - MVPs, iteration, user feedback, prioritisation - applied to curriculum and enablement rather than software features
• Familiarity with DORA research, SPACE, Accelerate, and current industry thinking on AI's impact on the software development lifecycle
• Public contributions - talks, writing, open source - that demonstrate ongoing engagement with the AI engineering community
• Supervisory responsibilities
• No - but you will lead the Builders effort and develop cohort members, equipping them to facilitate within their own teams
• Potential for growth
• Leadership development programs
• Regular training
• Career development services
• Continuing education courses
• Microsoft AI, GitHub, Anthropic, and cloud platform certification pathways
• Exposure to a firm wide AI transformation programme with direct executive visibility
• Opportunity to shape a new function - the Tier 3 lead role is being established for the first time at Janus Henderson . click apply for full job details