Werde Teil des Teams von NIKE, Inc. Team
NIKE, Inc. stattet nicht nur die besten Athlet:innen der Welt aus. Bei uns kommen leidenschaftliche Menschen zusammen, um die Zukunft des Sports zu gestalten. Wir stehen selbstbewusst zu dem, wer wir sind und was wir erreichen wollen: Innovation und Inspiration für alle Athlet:innen* auf der Welt. Wir suchen Mitarbeiter:innen, die Grenzen verschieben, unser Potenzial weiter entfalten und uns weiter an die Spitze führen – die nächsten risikofreudigen Trendsetter:innen, Playmaker:innen und Teamplayer:innen. Bist du dabei?
WHO YOU’LL WORK WITH
At Nike, we leverage the power of AI and Data to serve athletes* around the world. The AI Platform team is at the forefront of this mission—building scalable, secure, and intelligent Agentic AI platforms and services that power decision-making and personalized experiences across the Nike ecosystem.
WHO WE ARE LOOKING FOR
We are looking for an experienced AI/ML engineer with a passion for building robust and scalable AI platforms. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering high-quality software with Agentic first design as focus
Skillset Required
5+ years of experience in software development, with a strong foundation in distributed systems, AI-native architectures, and data platforms.
Experience with various stages of software development, including design, development, testing, and deployment.
Strong programming skills in Python, TypeScript, Java, Go, or Scala
Deep expertise with ML platforms like AWS SageMaker or Bedrock, Azure ML, or GCP.
Hands-on experience with Databricks, Snowflake, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark and Apache Airflow.
Strong understanding of Agentic AI architecture, LLMs, LLM Orchestration like LangGrapg or LangChain, Agent Eval, AI governance frameworks, and modern RAG pipelines, Model Context Protocol (MCP)
A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications
Proven ability to deliver high-impact, API-first services at scale.
Proficiency with tools like Terraform or AWS CloudFormation is critical for managing cloud infrastructure programmatically, ensuring consistency, and enabling automation.
Expertise with AI native development like Claude Code or Cursor.ai or similar tools
Testing & Quality Standards: Test-driven development (TDD) mindset with hands-on experience in pytest, Cypress, or equivalent frameworks. Maintains high test coverage and uses static analysis tools (linters, type checkers) to ensure code quality and maintainability.
Git Workflow & Collaboration: Experience with Trunk-Based Development or GitFlow workflows. Comfortable with frequent integration and collaborative branching strategies.
Agile Delivery: Proven track record working in Scrum or agile teams with iterative, pragmatic, value-driven delivery. Ships incremental working software while balancing engineering rigor with timely solutions.
Business-centric Communication: Translates technical investigations into actionable insights for product stakeholders. Articulates the "why" behind technical recommendations in terms of user value, risk mitigation, or business impact. Produces documentation that enables team understanding without requiring follow-up spikes.
Strong experience with functional programming paradigms. Comfortable writing immutable, composable, side-effect-free code.
Strong problem-solving and analytical thinking skills.
Experience in guiding and supporting junior engineers.
Excellent communication and collaboration skills.
Preferred Qualifications:
Frontend Development (Nice to have but not mandatory): Proficiency in modern JavaScript frameworks (Vue.js, React, or Angular) and CSS preprocessors (SCSS/SASS). Experience with component-based architecture and responsive design principles.
MLOps technologies and frameworks
Proven experience building AI Platforms or Agentic AI based enterprise applications and systems
Building and designing scalable Distributed Systems with RDBMS or NoSQL databases
WHAT YOU’LL WORK ON
What You’ll Do
Design, develop, and maintain scalable and trusted AI platforms and services.
Develop SDKs, APIs, and microservices to support enterprise-wide Agentic AI systems as per business needs.
Collaborate with cross-functional teams including product managers, and other engineers to deliver high-impact solutions.
Implement best practices in software development, data governance, and platform observability.
Development of agentic and AI/LLM powered enterprise applications
Participate in code reviews, provide feedback, and mentor junior engineers.
UNSER REKRUTIERUNGSPLAN
01 Bewerben
Unsere Teams leben von einer Vielfalt an Kompetenzen, Fähigkeiten, Denkweisen, Ideen und Erfahrungen. Wir möchten, dass du die für dich richtige Stelle findest. Sieh dir Stellenbeschreibungen, Abteilungen und Teams an und finde heraus, welche Rolle zu dir passt.
02 Recruiter:in treffen oder an Beurteilung teilnehmen
Wenn du für eine Stelle im Unternehmen ausgewählt wirst, setzt sich ein:e Recruiter:in mit dir in Verbindung, um das Vorstellungsgespräch einzuleiten und dir während des gesamten Prozesses als Hauptansprechpartner:in zur Seite zu stehen. Bei Stellen im Retail-Bereich nimmst du an einer interaktiven Beurteilung teil, die ein Gespräch und Quizfragen umfasst und etwa 10 bis 20 Minuten dauert. Egal, welche Rolle du anstrebst, wir möchten dich als ganze Person kennenlernen. Zögere also nicht, uns zu zeigen, was erstklassiger Service für dich bedeutet und was dich einzigartig macht.
03 Vorstellungsgespräch
Bereite dich gut auf diese Phase vor, indem du recherchierst, dich über unsere Anforderungen informierst und dich auf Fragen zu deiner Person und deinen Erfahrungen einstellst.
