Principal Software Engineer - AIML, ITC
NIKE, Inc. (company site, opens in a new tab)12+ yrsKarnatakaOn-siteDirect career pageEst. 55–95 LPA
Posted on 11 Sept
Reach people at NIKE, Inc.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at NIKE, Inc. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead architectural vision, technical design, and implementation of large-scale data and AI platforms ensuring robustness, security, and high performance.
- Set technical standards and best practices for software development, agentic AI systems, and ML cloud infrastructure across multiple teams.
- Collaborate with global stakeholders to align technology roadmaps with business priorities and oversee end-to-end project lifecycles including security and compliance.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, Machine Learning, AI systems, or related field; Master’s in AI/ML/Generative AI highly desired.
- 12+ years in software engineering with at least 5 years in senior leadership or principal engineer role.
- Expertise with AI cloud-native architectures (AWS SageMaker, DataBricks, Azure ML, GCP/Vertex AI) and modern ML stacks (LLMs, PyTorch, TensorFlow, Spark).
- Proficiency in Python, Java, Scala or Go; experience with DevOps, automation, CI/CD pipelines, infrastructure as code, and security/compliance in enterprise environments.
Ideal Candidate Profile
- Senior technology leader with proven ability to drive large-scale AI platform architecture and engineering standards in fast-paced, agile environments.
- Experienced in mentoring senior engineers and influencing cross-functional global teams to deliver strategic technology solutions.
- Strong expertise in integrating emerging AI/ML technologies and managing complex projects with focus on robust, secure, and scalable systems.