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 FORWe 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 Required5+ 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.
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
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.
Skills Required
- 5+ years of experience in software development
- Experience with distributed systems, AI-native architectures, and data platforms
- Experience across design, development, testing, and deployment lifecycle
- Strong programming skills in Python, TypeScript, Java, Go, or Scala
- Deep expertise with ML platforms (AWS SageMaker, Amazon Bedrock, Azure ML, or GCP)
- Hands-on experience with Databricks, Snowflake, AWS RDS, Azure SQL, GCP Cloud SQL, Apache Spark, and Apache Airflow
- Strong understanding of Agentic AI architecture, LLMs, LLM orchestration (e.g., LangChain/LangGraph), Agent Eval, AI governance, and RAG pipelines
- Familiarity with Model Context Protocol (MCP) and agentic workflow development
- Proven ability to deliver high-impact, API-first services at scale
- Proficiency with infrastructure-as-code tools like Terraform or AWS CloudFormation
- Expertise with AI-native tools (e.g., Claude Code, Cursor.ai) or similar
- Test-driven development mindset; hands-on experience with pytest, Cypress, or equivalent; use of linters and type checkers
- Experience with Trunk-Based Development or GitFlow and collaborative Git workflows
- Experience working in Scrum or Agile teams and delivering incremental value
- Strong familiarity with functional programming paradigms and writing immutable, composable code
- Experience mentoring and supporting junior engineers
- Business-centric communication skills; ability to translate technical work into product value
- Frontend development with Vue.js, React, or Angular (nice to have)
- Experience with MLOps technologies and frameworks (preferred)
- Experience building AI platforms or agentic AI enterprise applications (preferred)
- Experience designing scalable distributed systems with RDBMS or NoSQL databases (preferred)
Nike Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nike and has not been reviewed or approved by Nike.
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Retirement Support — A 401(k) with a company match is complemented by options such as a Mega Backdoor Roth and deferred compensation for eligible earners. Financial coaching and structured savings programs support long-term financial security.
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Equity Value & Accessibility — An Employee Stock Purchase Plan with a stock discount sits alongside broad-based equity vehicles like RSUs and non-qualified stock options. These avenues expand wealth-building opportunities beyond base pay.
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Parental & Family Support — Paid parental leave includes maternity and paternity time, recently expanded in the U.S. to 16 weeks and extended to part-time retail teammates. Additional supports include childcare assistance at select locations and family-building benefits such as fertility, surrogacy, and adoption.
Nike Insights
What We Do
At NIKE, Inc., we innovate to serve athletes*. Every teammate - from coder to creator - plays a role in making these athletes’ dreams real. Our tech, data, and digital teams push limits every day, building the future of sport and the tools that drive it. Here, curiosity is fuel. Innovation is the game plan. Different perspectives keep us on the offense. You’ll solve challenges worth tackling, grow fast and belong to a team that backs you to do the right thing. Bring your drive. Bring your bold. Let’s move the world, together. Take your first step at nike.com/careers * If you have a body, you’re an athlete.
Why Work With Us
At NIKE, Inc., your dedication fuels the future of sport. There is a sense of pride that comes from representing an iconic brand and shaping its future. Here, we treat every day as a new opportunity to push boundaries, ask tough questions and share whole-hearted convictions. We are a team – united by the belief that anything is possible.
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