Rejoignez l'équipe NIKE, Inc.
Loin de se contenter d'équiper les athlètes d'élite, NIKE, Inc. rassemble des personnes passionnées pour créer l'avenir du sport. Aucun doute quant à qui nous sommes et ce que nous voulons : apporter l'inspiration et l'innovation à chaque athlète* dans le monde. Nous cherchons des athlètes capables de repousser les limites, d'élever notre potentiel et de nous rapprocher toujours plus de l'excellence. Les athlètes de demain qui influencent et mènent le jeu, prennent des risques et créent la cohésion. Tu t'en sens capable ?
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.
NOTRE PLAN DE RECRUTEMENT
01 Posez votre candidature
Nos équipes se composent de personnes apportant des compétences, des connaissances, des contributions, des idées et des expériences variées. Nous souhaitons vous aider à trouver le poste qui vous correspond. Consultez les descriptions de poste, les services et les équipes pour trouver le poste parfait pour vous.
02 Rencontrez des responsables du recrutement ou passez une évaluation
En cas de sélection pour un poste au sein de l'entreprise (poste Corporate), une personne du service de recrutement vous contactera pour entamer le processus d'entretien. Cette personne sera votre contact principal tout au long du processus. Pour les postes dans la vente au détail (postes Retail), l'évaluation interactive comprend une discussion et des quiz. Elle dure environ 10 à 20 minutes. Quel que soit le poste que vous visez, nous souhaitons en savoir plus sur vous, alors n'hésitez pas à nous dire quelle est votre vision d'un service de haute qualité et ce qui vous rend unique.
03 Entretien
Abordez cette étape avec confiance, en faisant vos recherches, en comprenant ce que nous attendons et en vous préparant à répondre aux questions qui vous seront posées pour mieux connaître votre personnalité et votre parcours.
