AI Business Partner - Builders in London

AI Business Partner - Builders in London

London Full-Time 80000 - 100000 £ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Lead AI transformation by designing and running a curriculum for tech builders.
  • Company: Join Janus Henderson, a forward-thinking asset management firm committed to innovation.
  • Benefits: Enjoy hybrid working, generous holidays, health benefits, and professional development support.
  • Other info: Opportunity for leadership development and exposure to cutting-edge AI technologies.
  • Why this job: Shape the future of AI in finance while collaborating with top tech talent.
  • Qualifications: Hands-on engineering experience and strong communication skills are essential.

The predicted salary is between 80000 - 100000 £ per year.

City: London

Division: Corporate - CFO

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:

  • 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 utilising modern AI tooling with broad knowledge sharing on best practices and organisational knowledge on the latest developments in AI deployment. You will also work closely with Percepta and the technology organisation to extend the program into maximising the AI-native application development occurring on JHOS. This is not 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.

Key Responsibilities:

  • 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 subsidised 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.
  • 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.
  • Strong cross-persona communication.
  • Practical change management instincts.
  • Business analysis and measurement literacy.
  • Self-directed and comfortable with ambiguity.
  • Strong documentation instincts.
  • Experience working in a regulated environment (financial services, healthcare, legal, government).

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.
  • Familiarity with the Janus Henderson Technology stack or analogous environments.
  • 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.
  • Experience leading a community of practice, internal guild, or cohort-based enablement programme.
  • Product management sensibility.
  • 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 programmes.
  • Regular training.
  • Career development services.
  • Continuing education courses.
  • Exposure to a firm-wide AI transformation programme with direct executive visibility.
  • Opportunity to shape a new function.

You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role. At the company we’re committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds.

Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance.

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. The company 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.

AI Business Partner - Builders in London employer: United States Digital Space LLC

United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

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We think you need these skills to ace AI Business Partner - Builders in London

Hands-on Engineering Credibility
Modern AI Engineering Stack
Curriculum Design and Facilitation
Cross-Persona Communication
Practical Change Management
Business Analysis and Measurement Literacy
Self-Directed and Comfortable with Ambiguity

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