Staff Agentic Artificial Intelligence Engineer

About the role

In this premier technical leadership role, you will set organizational vision, architect next-generation machine learning platforms, and establish industry-defining operational practices that scale across diverse enterprise business units.

What you'll do

• Enterprise ML Vision & Platform Architecture: Define the multi-year technical roadmap for enterprise AI/ML infrastructure
• Next-Gen AI & Foundation Models: Architect scalable infrastructure for emerging generative technologies, including Large Language Models (LLMs), multi-modal systems
• Strategic Governance & Centers of Excellence: Establish cross-organizational MLOps governance, compliance standards
• ML Lifecycle & Experimentation: Deep expertise managing end-to-end ML lifecycles at scale, including automated experimentation, feature stores, model registries

What you need

• 8–14 years in data science & ai
• Machine learning
• MLOps
• Python
• LLMs
• Prompt engineering
• AWS
• PhD or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Kafka
• IPR
• C++
• GCP
• Data privacy
• Go