At Nike, we harness the power of data and technology to serve athletes worldwide. The Data, Analytics, and Intelligence (DAI) team is at the forefront of this mission—building scalable, secure, and intelligent platforms that enable data-driven decision-making and personalized experiences across the Nike ecosystem.
Requirements
- 5+ years of professional software development experience.
- Strong programming skills in Python (additional languages a plus).
- Hands-on experience with AWS Cloud Platform and large-scale application development on cloud platforms.
- Knowledge and experience in agentic workflows, AI/LLM-powered enterprise applications, and interoperability standards such as A2A and MCP protocol.
- Knowledge and experience in operationalizing LLMs, including evaluation pipelines (automated and human-in-the-loop), guardrails for safety and compliance, and continuous improvement strategies for model performance.
- Familiarity with LLM tooling and frameworks such as LangChain, Guardrails AI, OpenAI Evals, or similar for monitoring, observability, and governance.
- Proficiency in object-oriented, multi-tier architectures within complex environments.
Responsibilities
- Design, develop, and maintain scalable AI services powering Nike’s data platforms.
- Build SDKs, APIs, and microservices to support enterprise-wide applications.
- Develop agentic workflows and AI/LLM-powered enterprise applications.
- Collaborate with product managers and cross-functional engineering teams to deliver impactful solutions.
- Implement best practices in software development, data governance, and platform observability.
- Participate in code reviews, provide constructive feedback, and mentor junior engineers.
Other
- Open to remote work except in South Dakota, Vermont and West Virginia.
- Will accept any suitable combination of education, experience and training.
- Experience working in Agile development environments and mentoring junior engineers.
- Strong problem-solving and analytical skills, with a focus on delivering well-tested, well-documented code.
- Ability to communicate technical concepts in business terms, translating insights into actionable recommendations.
