At a Glance
- Tasks: Lead the engineering of a cutting-edge AI platform and drive automation across teams.
- Company: Join a forward-thinking tech firm focused on innovation and collaboration.
- Benefits: Enjoy hybrid working, generous holidays, wellbeing perks, and professional development support.
- Other info: Dynamic role with opportunities for growth and cross-functional collaboration.
- Why this job: Make a significant impact in AI while working with the latest technologies.
- Qualifications: 5+ years in platform engineering with strong automation and cloud skills.
The predicted salary is between 63000 - 77000 £ per year.
In this role you will own the AI tooling estate and day-to-day engineering for a firm-wide AI platform, driving automation, onboarding, and governance. You’ll run and evolve the model gateway, Copilot services, and platform tooling, balancing security and regulatory obligations with rapid delivery. You’ll collaborate across AI teams, architecture, governance, security, and procurement to turn pilots into repeatable, scalable solutions. This is a hands-on, senior IC role with broad cross-functional impact.
Pay / Benefits
- Hybrid working
- Generous Holiday policies
- Wellbeing benefits including Wellhub membership
- Volunteer time
- Professional development and tuition reimbursement
- Parental leave and family services
Responsibilities
- Engineer 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 as needed
- Operate the AI Team’s model gateway and routes to model providers, managing integrations, credentials, quotas, and routing rules
- Implement identity, IAM, entitlements, and secure secret handling with enterprise IAM and AI Security; monitor availability, latency, and policy breaches
- Establish risk-based onboarding for new AI products and features with governance and risk teams
- Collaborate with architecture on buy-versus-build decisions and encode controls into the platform
- Act as service owner for Microsoft 365 Copilot, GitHub Copilot, and Copilot Studio; define deployment plans, licenses, cohorts, and guardrails
- Own telemetry, token budgets, licences, and vendor management across all AI systems; ensure consumption is attributed and budgets enforced
- Engage with procurement, legal, TPRM, and finance on vendor selection, renewals, risk, and roadmap
- Partner with other engineering and enablement teams to drive self-serve tools and automated policy controls
Key requirements
- At least five years in platform engineering, software engineering, DevOps, SRE, or cloud engineering with shared services experience
- Strong automation skills in Python and hands-on Azure cloud experience including IaC, CI/CD, identity, RBAC, and secret management
- Production experience with LLM APIs or AI platforms including model access, quotas, observability, and provider change management
- Experience administering a major enterprise SaaS or productivity platform at tenant scale (policy, licenses, entitlement management, phased rollout)
- Experience as a technical owner for software vendors (selection, due diligence, licensing, renewals, cost management)
- Good judgement in regulated environments translating security, privacy, risk, and audit requirements into technical controls
- High ownership mindset and ability to structure unfamiliar products, resolve cross-team dependencies, and maintain accountability in production
- Strong judgment and risk-based decision making
- High ownership and accountability
- Collaborative cross-functional communication
- Azure (Azure AI Foundry, Azure OpenAI)
- Anthropic Claude
- Microsoft 365 Copilot, GitHub Copilot, Copilot Studio
Senior AI Platform Engineer employer: Janus Henderson
At Janus Henderson, we pride ourselves on being an exceptional employer that fosters a culture of collaboration and inclusivity. Our commitment to employee growth is evident through our comprehensive professional development programs, generous health and wellbeing benefits, and a supportive hybrid working environment. Join us in London, where you can contribute to meaningful financial outcomes while enjoying a vibrant work-life balance and engaging community events.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Platform Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Janus Henderson or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Janus Henderson.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Janus Henderson.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Janus Henderson that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Platform Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Janus Henderson.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Janus Henderson and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Janus Henderson
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Janus Henderson uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
