Principal AI Engineer — ML / MLOps Platform Architect

About the role

The Principal Machine Learning Engineer is a senior technical leader responsible for architecting, building, and operationalizing enterprise-scale AI, Generative AI, and Agentic AI capabilities across Databricks, Azure AI Foundry, and cloud-native AI platforms. This role will lead the strategy, architecture, and implementation of foundation models, custom models, AI platform services, ModelOps, and Agentic AI frameworks that power enterprise AI solutions.

What you'll do

• Own the enterprise strategy for foundation models, frontier models, and custom enterprise models
• Evaluate, benchmark, onboard, and operationalize leading AI models from OpenAI, Anthropic, Google, Azure AI Foundry, Databricks Mosaic AI, and open-source ecosystems
• Define model selection and deployment strategies based on performance, cost, security, latency, and business requirements
• Establish enterprise standards for model consumption and governance
• Model Lifecycle Management (ModelOps)

What you need

• 12–22 yrs of experience
• Machine learning
• MLOps
• LLMs
• Databricks
• Prompt engineering
• Azure
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Terraform