Agentic AI Platform Engineer

Location: London Technology In short ------------ We are looking for an AI Platform Engineer to join the newly established AI and ML Platform team at On. As one of the fastest-growing global sports brands, investing in autonomous intelligence is critical to On’s strategy and our Company goals for 2026 and beyond. While our existing squad has built a strong MLOps foundation, we need to inject additional deep, production-grade agentic expertise in the team. In this role, you will partner with your peers to mature the scalability, observability, and governance of our AI platform—ultimately shaping the blueprint for how a global brand leverages AI at scale. Your Mission ---------------- As an AI Platform Engineer, you will play a key role in shaping the technical direction, delivery standards, and architectural quality for agentic solutions within the AI \& ML platform space. Your core goals include: * Build \& Operate Agentic Infrastructure: Architect, scale, and maintain highly reliable, secure, and observable core platform components (e.g., evaluation frameworks, routing, gateways) for both internal and customer-facing autonomous use cases. * Empower Applied Solutions: Act as a trusted partner to business and product teams, providing the tooling and architectural guidance they need to accelerate their adoption of high-impact agentic workflows. * Contribute to AI \& ML Convergence: Bring a deep curiosity for how LLMOps and traditional MLOps intersect, collaborating with peers to explore and test the strategy for a unified, hybrid AI/ML ecosystem. * Navigate Ambiguity \& Champion Standards: Thrive in a fast-paced environment to turn ambiguous requirements into scalable features. You will establish engineering best practices, evaluate cutting-edge tooling, and foster technical consensus across the org. Your story -------------- You are an expert engineer who pairs deep infrastructure experience with a proven track record in the emerging AgentOps space. You know what "good" looks like in traditional platform engineering, and you have successfully translated that rigor into scaling Agentic AI safely. * Core Engineering \& Production AI Experience: You have a strong background in backend, platform, or data engineering, with a strong preference for candidates who bring prior experience in MLOps or ML Platform engineering. * For a Mid-Level role: You have 3+ years of overall software engineering experience, with at least 1 year of demonstrable experience building and maintaining production-grade components for Agentic AI / LLM systems. * For a Senior-Level role: You have 5+ years of overall software engineering experience, with a proven track record of architecting, building, and leading major components of a production agentic infrastructure, far beyond the prototype phase. * Deep Agentic \& Cloud Stack Expertise: You are fluent in modern agentic frameworks, cognitive architectures, and cloud ecosystems (GCP preferred). You know how to architect and interface with core platform components (vector/graph databases, semantic caches, and LLM orchestration gateways) and integrate external systems and tools via modern standards like the Model Context Protocol (MCP). * Observability \& Evaluations: You have experience implementing robust evaluation and observability frameworks (such as LangSmith, LangFuse, etc.) to monitor agent performance, quality, and cost. * Governance \& Velocity: You have a mature, critical perspective on balancing delivery speed with safety, ensuring reliable and secure agent behavior in production without stifling innovation. Collaborative Mindset: You thrive on ambiguous, zero-to-one infrastructure challenges. You are an exceptional, low-ego communicator (both written and verbal) who excels at building consensus, establishing deep partnerships, and earning trust with both technical peers and non-technical stakeholders. About the Team ------------------ The AI \& ML Platform team is a newly established pillar within our Data and AI Org, tasked with driving the scale, efficiency, and global velocity of both traditional Machine Learning and next-generation Agentic AI across On. We focus on architecting and operating production-grade infrastructure—from robust LLM gateways and evaluation frameworks to scalable ML pipelines. Beyond building the core engine, we act as trusted partners to teams looking to adopt Agentic AI solutions, providing the guidance, tooling, and best practices they need to implement their use cases successfully. Our mission is to empower product teams and define a unified AI/ML ecosystem that scales with On’s global momentum. London Home to nearly 3000 parks, a population speaking more than 300 languages, and a vibrant art and music scene, London is one of the world’s most loved cities for good reason. 12 Fleur De Lis Street, E1 6DB United Kingdom Location What we offer ----------------- On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose. On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination. Build the better you What to expect ------------------ We want to set everyone up for success, so here’s the lowdown on how we hire. Our process is a two-way street – bringing you into our culture, while helping us learn how you think. Our full process can last about eight weeks from application to offer, because we care about getting it right. These steps explain how we usually do things. Before you get started, feel free to consider if you want to work with us. Strange question? Well, we give people a lot of space to navigate their day-to-day and that style isn't for everyone. We want you to be passionate about what you do and be sure this is the right fit. Because when skills and passion combine – it creates that 'Wow' moment. * ### Step One It starts with you... You'll start by submitting your application to a specific role. We try to keep this step as simple as possible. We do get a lot of applications, but we review them all. If you're a good fit to the role, a recruiter will follow up with you directly. If you didn't receive a reply, or were unsuccessful this time around, we encourage you to look for other possible matches at On. * ### Step Two Interview with a recruiter What ignites your spirit? This is where we’ll start getting to know all about you and what makes you tick – and it’s your first chance to get a feel for our culture. Chatting with a member of our talent team, you’ll learn more about On and how we work. We’ll learn about what motivates you and what you could bring to the team. * ### Step Three Interview with a hiring manager Ready to dig into the details? This second interview will be held with your future manager and will focus on the specifics of the job. Together you’ll delve into your unique skills and experiences and how they could be relevant at On. It's also a time to assess how you might feel working side-by-side. Bring any questions you have about the job, the team or anything else you might like to know – this is an open forum. * ### Step Four The Case Study What's your style? This task will help us understand how you think, face a challenge and give insight into your novel ideas. Designed to give everyone their best shot, your case study is based on something you might typically experience on the job. This is your chance to show us what you’ve got. So express yourself. Be you. * ### Step Five The Experience Day Your first taste of the Oniverse. This is a time to meet some of the people you'll be working closest with. In person or virtually, you'll get a feel for the day-to-day at On and the people who make it happen. You'll chat with a few potential teammates - the conversations will be as equally driven by the role and your experience as by our values. We believe how you do things is just as important as what you do. * ### Step Six The Result Are we a good fit? We’ll get together internally to share our feedback and decide if we’re a match. We know that job searching is a big time investment, so it’s not a decision we take lightly. It’s also time for you to reflect on the experience – are we the right place for you? No matter the outcome, we’ll give you meaningful feedback.