Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.
WHO YOU’LL WORK WITH
You’ll be joining a dynamic, fast-paced Global FPE (Foundational Platforms Engineering) team within Nike. Our mission is to build and scale world-class cloud-native platforms, enabling Nike’s data-driven decision-making and intelligent automation capabilities.
This role sits right into AI-driven innovation helping to drive cutting-edge advancements in both analytics and intelligent automation. Collaboration and creativity are at our core, and we are passionate about leveraging cloud-scale data platforms and AI-powered automation to transform business operations.
WHO WE ARE LOOKING FOR
We are seeking a Lead Software Engineer who brings deep expertise in Databricks, AWS Services, Cloud Platforms, and AI-driven automation. You are someone who thrives in building scalable, high-performance data platforms to improve efficiency, insights, and user experience.
Key Skills & Traits:
7+ years of experience in AI/ML model development, deployment, and lifecycle management
Proven track record of architecting large-scale, distributed AI/ML systems
Deep expertise in LLMs, generative AI, and advanced NLP techniques
Experience leading MLOps/LLMOps strategy and implementation across teams
Advanced proficiency in Python, SQL, Spark, and cloud automation
Hands-on experience with MLFlow
Experience with Databricks and multi-cloud AI/ML deployments
Strong background in data engineering, pipeline orchestration, and data governance
Demonstrated ability to mentor, coach, and lead engineering teams
Experience with DevOps, CI/CD, containerization (Docker, Kubernetes), and model monitoring/versioning (DVC)
Excellent communication, stakeholder management, and strategic planning skills
WHAT YOU’LL WORK ON
As a Lead Software Engineer, you will play a crucial role in architecting, modernizing, and leading the development of scalable, production-grade AI/ML platforms.
Core AI/ML engineer Responsibilities:
Architect and lead the development of scalable, production-grade AI/ML platforms
Define and enforce best practices for ML model lifecycle, reproducibility, and governance
Lead cross-team initiatives to drive AI adoption and automation at scale
Establish best practices for model versioning and reproducibility.
Design and implement advanced NLP and generative AI solutions
Manage ML infrastructure on Databricks cloud platform.
Maintain security and compliance implementations for ML systems.
Oversee ML infrastructure, cost optimization, and security/compliance for enterprise deployments
Mentor and guide engineers, fostering a culture of technical excellence and innovation
Collaborate with product, data, and business teams to align AI solutions with strategic goals
Evaluate emerging technologies and drive continuous improvement in platform capabilities
Evangelize AI adoption, helping Nike teams unlock new automation opportunities.
OUR HIRING GAME PLAN
01 Apply
Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.
02 Meet a Recruiter or Take an Assessment
If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.
03 Interview
Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.
