Principal Ingénieur (AI & Cloud Infrastructure) — On Running
- Lieu
- Zürich
- Contrat
- full-time
- Publié
- il y a 6 jours
Vue d’ensemble du poste
In short
In Technology at On, everything we build fuels our mission to ignite the human spirit through movement.
We craft technology that improves with every interaction, enhancing the experience for everyone who moves.
- In short
- In Technology at On, everything we build fuels our mission to ignite the human spirit through movement.
Processus de candidature
- Connect the AI platform deeply with On's data platform, identity and access management, event streams, and application ecosystem, so intelligent capabilities can draw on trusted data and act safely within existing systems. Set a High Technical Bar
- Ensure platform components are designed with sound engineering judgement.
- Balance velocity with quality, simplicity, security, maintainability, and long-term scalability, and raise the bar for AI engineering practice across the organisation. Navigate Ambiguity With Pragmatism
- Work in a space where the ecosystem changes monthly.
- Use technical judgement, benchmarking, and first-principles thinking to make durable architectural decisions in a fast-moving landscape. Enablement, Governance & Adoption Enable Applied AI Teams
- Partner closely with applied AI, product, and functional teams as your customers.
- Understand their needs, remove friction, and shape the platform roadmap around what accelerates them most. Build Governance Into the Platform
- Embed security, privacy, data protection, access control, auditability, and responsible AI guardrails directly into platform primitives, so doing the right thing is the default, not an afterthought.
Détails supplémentaires
- You will work closely with our AI strategy, data science, machine learning, applied AI, and infrastructure leaders, ensuring that On's AI foundations are technically excellent, deeply integrated with our data and systems landscape, and built to serve athletes and customers for years to come. What Success Looks Like:
- You will be the engineering backbone that turns AI possibility into production reality. Platform & Infrastructure Delivery Build On's Core AI Platform
- Design and deliver the shared services at the heart of On's AI capability: model gateway and orchestration layers, inference serving, retrieval infrastructure, vector and feature stores, evaluation pipelines, and the developer tooling that ties them together. Provide Paved Roads for AI Development
- Create golden paths, SDKs, templates, and reference architectures that allow product and applied AI teams to ship AI features quickly without reinventing infrastructure, security, or governance for each initiative. Engineer for Production, Not Just Demos
- Take capabilities from promising prototype to hardened production service. Own Model Lifecycle Infrastructure
- Build and operate the machinery for the full model lifecycle: versioning, deployment, A/B rollout, monitoring, drift detection, evaluation, and retirement, across both third-party foundation models and internally developed models. Optimise Cost, Performance, and Scale
- Establish the practices and tooling to manage inference cost, token consumption, caching, routing between models, and capacity planning, so that On's AI usage scales sustainably with the business. Engineering & Technical Leadership Act as a Hands-on Principal Engineer
- Make deliberate build-vs-buy decisions across the rapidly evolving AI tooling landscape, and keep the platform coherent as it grows. Integrate AI Into On's Systems Landscape
- Connect the AI platform deeply with On's data platform, identity and access management, event streams, and application ecosystem, so intelligent capabilities can draw on trusted data and act safely within existing systems. Set a High Technical Bar
- Balance velocity with quality, simplicity, security, maintainability, and long-term scalability, and raise the bar for AI engineering practice across the organisation. Navigate Ambiguity With Pragmatism
Notes et contenu original
- You will work closely with our AI strategy, data science, machine learning, applied AI, and infrastructure leaders, ensuring that On's AI foundations are technically excellent, deeply integrated with our data and systems landscape, and built to serve athletes and customers for years to come.
- What Success Looks Like:
- You will be the engineering backbone that turns AI possibility into production reality.
- Your mission
- Platform & Infrastructure Delivery
- Build On's Core AI Platform
- Design and deliver the shared services at the heart of On's AI capability: model gateway and orchestration layers, inference serving, retrieval infrastructure, vector and feature stores, evaluation pipelines, and the developer tooling that ties them together.
- Provide Paved Roads for AI Development
- Create golden paths, SDKs, templates, and reference architectures that allow product and applied AI teams to ship AI features quickly without reinventing infrastructure, security, or governance for each initiative.
- Engineer for Production, Not Just Demos
Questions sur cette offre
Quel salaire propose On Running pour ce poste ?
On Running indique CHF 101 500 - 154 000 bruts par an pour ce poste à Zürich. Il s'agit du salaire publié dans l'annonce d'origine (ou, si l'employeur ne précise pas de montant, d'une estimation réaliste pour le rôle et le secteur) — le calculateur de ce site le convertit en net réel une fois l'impôt frontalier et les cotisations sociales appliqués.
Est-ce un poste à temps plein, et quel type de contrat propose On Running ?
Cette offre est un poste en temps plein. Le type de contrat affiché ici provient directement de l'annonce originale de l'employeur ; confirmez toujours les horaires exacts, le préavis et la durée d'essai avec On Running pendant le processus de candidature, ces détails pouvant varier même au sein de la même catégorie de contrat.
Ai-je besoin d'un permis de frontalier pour un poste dans le canton de Zurich ?
Les résidents UE/AELE domiciliés dans la zone frontalière du pays voisin du canton de Zurich peuvent demander un permis G ; l'employeur suisse le dépose auprès de l'office cantonal des migrations après signature du contrat. Les règles de zone frontalière et les délais varient selon le pays voisin et le canton — confirmez les détails auprès de l'office des migrations du canton de Zurich ou avec les RH pendant la candidature.
Comment postuler à ce poste chez On Running ?
Utilisez le bouton « Postuler maintenant » sur cette page — il renvoie directement à l'annonce originale de On Running sur boards.greenhouse.io, votre candidature arrive donc directement dans le système de suivi des candidatures de l'employeur. Frontaliere Ticino ne collecte ni ne transmet lui-même les candidatures.
