Lead Software Engineer - AIML, ITC

Posted 12 Hours Ago
Be an Early Applicant
Hiring Remotely in Karnataka, IND
Remote
Senior level
Other • Retail
At NIKE, Inc., technology is laying the foundation for our digital transformation and direct-to-consumer strategy.
The Role
Lead design, build, deploy, and operate scalable agentic AI and ML platforms. Own technical design of ML pipelines, reusable frameworks, cost/performance optimizations, security, observability, UI/UX collaboration, automated testing, and mentor engineers.
Summary Generated by Built In
WHO YOU’LL WORK WITH

At Nike, we leverage the power of data and technology to serve athletes* around the world. The Data & AI (DAI) team is at the forefront of this mission—building scalable, secure, and intelligent platforms that power decision-making and personalized experiences across the Nike ecosystem.

WHO WE ARE LOOKING FOR

We are looking for an experienced software engineer with a passion for designing and building robust data platforms and solutions. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering scalable and reliable software platforms and services.

Skillset Required
  • 7+ years of experience in software development, with a strong foundation in object oriented development, distributed systems, cloud-native architectures, and data platforms.

  • Strong expertise in Agentic AI systems: generative AI, LLM orchestration, prompt engineering, RAG patterns, and agentic architectures. You have built and delivered AI-powered solutions, not just prototyped them.

  • Experience building agents using modern frameworks and protocols (MCP, A2A, LangGraph, CrewAI, or similar); you've gone beyond tutorials and built something meaningful, whether in production, a significant internal project, or a customer-facing PoC.

  • Understanding LLM production concerns: grounding, guardrails, AI Governance, latency, cost optimization, and observability.

  • Familiarity with knowledge graphs, vector stores, relational databases, and embedding pipelines.

  • Advanced knowledge of a major ML cloud platform (AWS SageMaker, Databricks, Azure ML, GCP/ Google Vertex AI) and its ecosystem of services.

  • Proficiency with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.

  • Strong understanding of advanced data modeling techniques and modern data warehouses.

  • Ability to design scalable, fault-tolerant, and maintainable distributed systems.

  • A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications.

  • Experience with UI/UX design principles and tools such as Figma or Adobe.

  • Knowledge of security best practices and experience implementing security measures in software development.

  • Strong collaboration and teamwork skills, with the ability to work effectively in a cross-functional team.

  • Excellent communication and stakeholder management skills.

WHAT YOU’LL WORK ONWhat You’ll Do
  • Design, build, deploy, and own complete, scalable, and reliable Agentic AI and software platforms and services.

  • Lead the technical design of new ML pipelines, Agentic AI services, and systems.

  • Build reusable frameworks, libraries, and data management tools to improve productivity.

  • Optimize performance and cost-efficiency of ML workflows and compute layers.

  • Collaborate with stakeholders such as data scientists, business analysts, and product managers to understand and translate business requirements into technical solutions.

  • Lead the development and production of agentic and AI/LLM powered enterprise applications.

  • Collaborate with UI/UX designers to ensure the experiences are optimized for usability and performance.

  • Implement security best practices to protect data and ensure compliance with industry standards.

  • Develop and maintain automated tests to ensure the quality and reliability of the software.

  • Provide technical leadership and mentorship to junior engineers.

  • Ensure the uptime, reliability, and monitoring of the systems you build and own.

Skills Required

  • 7+ years of software development experience with object-oriented development, distributed systems, cloud-native architectures, and data platforms
  • Proven expertise in Agentic AI systems: generative AI, LLM orchestration, prompt engineering, RAG patterns, and agentic architectures
  • Experience building agents using modern frameworks/protocols (MCP, A2A, LangGraph, CrewAI or similar) in production or significant PoCs
  • Understanding of LLM production concerns: grounding, guardrails, AI governance, latency, cost optimization, and observability
  • Familiarity with knowledge graphs, vector stores, relational databases, and embedding pipelines
  • Advanced knowledge of a major ML cloud platform (AWS SageMaker, Databricks, Azure ML, or Google Vertex AI)
  • Proficiency with Infrastructure as Code tools such as Terraform or AWS CloudFormation
  • Strong understanding of advanced data modeling techniques and modern data warehouses
  • Ability to design scalable, fault-tolerant, and maintainable distributed systems
  • Experience developing agentic workflow and AI/LLM-powered enterprise applications
  • Experience with UI/UX design principles and tools (Figma or Adobe)
  • Knowledge of security best practices and experience implementing security measures in software development
  • Strong collaboration, teamwork, communication, and stakeholder management skills

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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: Beaverton, OR
73,000 Employees
Year Founded: 1972

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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