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 FORWe 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
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.
Top Skills
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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