Janus Henderson Investors
Senior AI Platform Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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 to become the most technologically sophisticated asset manager in the industry, and it has to move quickly without compromising security, resilience, or regulatory obligations. Our AI capability sits in a single centralised function under the Head of AI. AI Technology owns the AI product and workload plane — the software, models, gateways, and controls used to build and run AI across the firm — and AI Platforms is the team within it that owns the tooling estate itself.
As Senior AI Platform Engineer, reporting to the Head of AI Technology, you will own the day-to-day engineering and lifecycle of that estate, from Azure AI Foundry and the AI model gateway through to Anthropic Claude and our Copilot services. You will assess new products, run controlled pilots, automate onboarding, and turn selected tools into supported services. You will also hold the administrator seat for Microsoft 365 Copilot, GitHub Copilot, and Copilot Studio, controlling their administrative settings and the plan by which they are deployed.
This is a hands-on role with broad ownership, working across AI Engineering, AI Architecture, AI Governance Implementation, AI Security, Central Technology, Procurement, and the AI Enablement Partners. You will be expected to understand both the code and the contract: how a tool integrates, how it behaves in production, what it costs, and how it is controlled. The portfolio will change quickly, so the role needs sound judgement and the ability to turn one-off approval work into a repeatable onboarding path.
What success looks like
- New AI products reach a decision quickly through a repeatable risk-based path, and teams self-serve — engineers and business users consume approved tools and models through documented patterns rather than one-off requests to you.
- The model gateway is dependable. Availability, latency, quotas, and cost are visible, and provider change is absorbed without breaking the teams that consume it.
- Copilot capability lands deliberately, with licences, cohorts, and features released to a plan and the required controls evidenced first.
- Spend is defensible. Token consumption and licence take-up are attributed by team, agent, and provider, budgets are enforced where they need to be, and you act on what is underused or duplicated.
Your responsibilities
Engineer and operate the AI tooling estate
- Build, configure, and operate shared AI software and platform services used by engineering teams, business users, agents, and applications.
- Own the technical lifecycle of AI tools from discovery and pilot through onboarding, upgrades, support, renewal, and retirement.
- Automate provisioning, configuration, policy enforcement, and evidence collection using APIs, infrastructure as code, and CI/CD.
- Provide L2 support, maintain runbooks and recovery procedures, and escalate to vendors or Central Technology where the issue sits outside the AI workload plane.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Run the model gateway and onboard AI software
- Engineer and operate the AI Team’s model gateway and routes to hosted and external model providers, managing integrations, credentials, quotas, routing rules, fallback, and rate limits.
- Implement identity, role-based access, entitlements, and secure secret handling with enterprise IAM and AI Security, and monitor availability, latency, errors, usage, and policy breaches with auditable records of model access, decisions, and costs.
- With AI Security and AI Governance Implementation, establish a risk-based process for evaluating and onboarding new AI products, model providers, versions, and platform features, leading the technical discovery, pilots, and production-readiness reviews, and distinguishing routine upgrades from materially new or higher-risk capabilities.
- Work with AI Architecture on buy-versus-build decisions and encode approved controls into the platform.
Administer and deploy our Copilot services
- Act as service owner and administrator for Microsoft 365 Copilot, GitHub Copilot, and Copilot Studio, controlling every administrative setting and policy through delegated administrator roles in the tenants Central Technology operates.
- Own the deployment plan: licence assignment, cohort sequencing, environment and connector strategy, agent publishing routes, and the order in which capability reaches each part of the firm.
- Define the Copilot roadmap with the Principal AI Architect and AI Security, deciding which vendor features are made available and to whom, and staging capability until the required controls are evidenced.
- Govern the Copilot Studio maker experience — environments, data-loss-prevention policies, connectors, and publishing approval — so business users build agents inside agreed guardrails.
Own telemetry, token budgets, licences, and vendors
- Own and maintain the usage, cost, and token telemetry across every AI system — the model gateway, Copilot services, Azure AI Foundry, and external providers — so consumption is attributed consistently to users, teams, agents, applications, and providers, and keep it accurate as the estate changes.
- Administer token budgets at the granularity the firm needs, whether by user, team, agent, application, or use case. Set, adjust, and enforce allowances through quotas, alerts, and access boundaries, and give budget owners the visibility to manage their own consumption.
- Report on adoption, licence take-up, spend, and service quality in enough detail to support funding decisions, and identify underused licences and duplicated products.
- Act as technical owner for AI software vendors, supporting selection, due diligence, licensing, renewals, and exit planning with Procurement, Legal, TPRM, and Finance, and track vendor roadmaps, deprecations, and security advisories.
- Work alongside Percepta and other delivery partners while new platforms are built, and accept platforms into service only when ownership and controls are clear.
- Partner with AI Engineering and Forward Deployed Engineering so teams self-serve approved tools and models; with AI Governance Implementation, Risk, and AI Security to turn policy into automated controls; with AI Architecture to stay aligned to the target architecture; and with the AI Enablement Partners so training matches what the platform permits.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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
- At least five years in platform engineering, software engineering, DevOps, SRE, or cloud engineering, including building and operating shared services used by multiple teams.
- Strong automation skills in Python or a comparable language, and hands-on experience with a major cloud, ideally Azure, including infrastructure as code, CI/CD, identity, RBAC, and secret management.
- Production experience with LLM APIs or AI platforms, covering model access, quotas, rate limits, observability, and provider change management.
- Hands-on administration of a major enterprise SaaS or productivity platform at tenant scale, including policy configuration, licence and entitlement management, staged feature enablement, and phased rollout to a large user base.
- Experience acting as technical owner for software vendors, covering selection, due diligence, licensing, renewals, and cost management.
- Good judgement in a regulated environment, translating security, privacy, risk, and audit requirements into working technical controls, and explaining trade-offs clearly to engineers, control functions, and senior stakeholders.
- High ownership and comfort with change. You can bring structure to an unfamiliar product, resolve dependencies across teams, and remain accountable after it enters production.
Nice to have skills
- Azure AI Foundry, Azure OpenAI, Anthropic Claude, Microsoft 365 Copilot, GitHub Copilot, or Microsoft Copilot Studio.
- Microsoft 365, Entra ID, Purview, and Power Platform administration, including admin-centre configuration, data-loss-prevention policies, and environment strategy.
- Experience building or operating an AI gateway, inference-routing layer, or multi-provider model platform.
- Terraform, Docker, Kubernetes, or Azure DevOps, and enterprise observability, ITSM, or FinOps platforms.
- Financial-services or asset-management experience, including regulated data and third-party risk processes.
Supervisory responsibilities
- No. This is a senior individual-contributor role. The Senior AI Platform Engineer leads technical work and coordinates delivery across internal teams and vendors, but does not line-manage.
Potential for growth
- Mentoring
- Leadership development programs
- Regular training
- Career development services
- Continuing education courses
At Janus Henderson Investors we’re committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don’t worry if you don’t think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can’t accommodate every flexible working request, we’re happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London