Senior Software Engineer – GenAI and AIML Engineering

[35, Software EngineerIII]

WHO YOU’LL WORK WITH
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.
 

WHO WE ARE LOOKING FOR
We seek an experienced software engineer passionate about designing and delivering robust, scalable AI/ML solutions that accelerate insights at enterprise scale. You thrive in a fast-paced, collaborative environment and have a proven track record of building high-quality software.
 

WHAT YOU’LL WORK ON
As a Senior Engineer, you will:
 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.

Required Skills & Experience

 Bachelor’s degree in Computer Science or related field. Will accept any suitable combination of education, experience and training.
 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.
 Experience with Infrastructure-as-Code (IaC) and GitOps workflows.
 Familiarity with containerization (Docker), CI/CD pipelines, and dependency
management tools (e.g., Poetry, uv).
 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.

Preferred Qualifications
 Experience working on Databricks platform
 Knowledge of Atomic Design principles for scalable component organization.
 Experience in Test-Driven Development (TDD) or willingness to adopt TDD
practices.
 Familiarity with instrumentation and monitoring tools (e.g., New Relic, Splunk).
 Understanding of API documentation standards (OpenAPI/Swagger).
 Knowledge of enterprise authentication/authorization protocols (OAuth, OIDC,
Okta, or similar SSO platforms).