AI Business Partner - Builders

Job Opportunity

The AI Business Partner for Builders will design and run our AI transformation expansion, defining curriculum, leading cohort models, and collaborating across Technology, Investments, and Innovation to embed modern AI tooling.

Key Responsibilities

• Design and run the Builders curriculum: a general foundation for all builders 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, iterating with 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.
• 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, 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

• Hybrid working and reasonable accommodations.
• 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.

Required Skills

• Hands‑on engineering credibility – you have shipped software and use modern coding agents on real work.
• Working fluency with the modern AI engineering stack – agentic harnesses, MCP, repo‑level context, agentic CI/CD patterns, long‑running agents, and trade‑offs 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 know the difference between a session people endure and one they apply on Monday morning.
• Strong cross‑persona communication – credible with staff engineers, product owners, architects, and senior leaders.
• Practical change‑management instincts – able to surface and remove adoption blockers (access, acceptable‑use, budget, fear).
• Business analysis and measurement literacy – comfortable with DORA metrics, SPACE, developer experience research, and designing surveys and interpreting pipeline telemetry.
• Self‑directed and comfortable with ambiguity – you will define how this new effort runs without a detailed playbook.
• Strong documentation instincts – you produce reusable curriculum, patterns, and playbooks that outlast your direct involvement.
• Experience working in a regulated environment – governance, compliance, and data sensitivity shape tool evaluation, approval, and deployment.

Nice to Have Skills

• Direct experience in financial services or asset management, especially with 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 foundation models.
• Background in developer experience, platform engineering, or internal tooling – success measured by other engineers’ productivity.
• 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 direct reports – you will lead the Builders effort and develop cohort members to facilitate within their own teams.

Potential for Growth

• Regular training.
• 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, defining how AI enablement scales across the firm’s technologist population and into AI‑native product development on JHOS.

Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool.

Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits.

Equal Opportunity Employer: Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.