Principal Ingenieur (AI & Cloud Infrastructure) — On Running
- Ort
- Zürich
- Vertrag
- full-time
- Veröffentlicht
- vor 6 Tagen
Rollenüberblick
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.
Bewerbungsprozess
- 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.
Weitere Details
- 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
Notizen und Originalinhalt
- 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
Fragen zu dieser Stellenanzeige
Welches Gehalt bietet On Running für diese Stelle?
On Running gibt CHF 101'500 - 154'000 brutto pro Jahr für diese Position in Zürich an. Dies ist das im Original-Inserat veröffentlichte Gehalt (oder, falls der Arbeitgeber keinen Betrag nennt, eine realistische Schätzung für Rolle und Branche) — der Rechner auf dieser Seite berechnet daraus Ihr tatsächliches Netto nach Grenzgänger-Steuer und Sozialabgaben.
Ist das eine Vollzeitstelle, und welchen Vertragstyp bietet On Running?
Diese Stelle ist eine Vollzeit-Position. Der hier angezeigte Vertragstyp stammt direkt aus dem Original-Inserat des Arbeitgebers; klären Sie genaue Arbeitszeiten, Kündigungsfrist und Probezeit während des Bewerbungsprozesses mit On Running, da diese Details auch innerhalb derselben Vertragskategorie variieren können.
Brauche ich eine Grenzgänger-Bewilligung für eine Stelle im Kanton Zürich?
EU/EFTA-Bürger mit Wohnsitz in der Grenzzone des an den Kanton Zürich angrenzenden Landes können eine G-Bewilligung beantragen; der Schweizer Arbeitgeber reicht sie nach Vertragsunterzeichnung beim Migrationsamt dieses Kantons ein. Grenzzonen-Regeln und Bearbeitungszeiten variieren je nach Nachbarland und Kanton — klären Sie die Details mit dem Migrationsamt des Kantons Zürich oder mit HR während der Bewerbung.
Wie bewerbe ich mich für diese Stelle bei On Running?
Nutzen Sie die Schaltfläche "Jetzt bewerben" auf dieser Seite — sie führt direkt zum Original-Inserat von On Running unter boards.greenhouse.io, sodass Ihre Bewerbung direkt im Bewerbermanagementsystem des Arbeitgebers landet. Frontaliere Ticino sammelt oder leitet keine Bewerbungen selbst weiter.
