Generative AI Engineer - Machine Learning

- Translate business requirements into scalable and well documented ML pipelines and AI solutions using Databricks, Azure AI, and Snowflake.

- Define and drive the strategic roadmap for GenAI and agentic AI adoption across business units.

- Lead architecture design for multi-agent systems using modular frameworks like LangChain and Azure AI Agent Service.

- Oversee development and deployment of AI agents for tasks such as customer outreach, research, and workflow automation.

- Establish governance frameworks for AI observability, access control, and guardrail enforcement using Unity Catalog and Azure Guardrails.

- Mentor and guide engineering teams on best practices in GenAI, MLOps, and agentic design patterns.

- Collaborate with product, data, and engineering leadership to align AI initiatives with business goals.

- Evaluate emerging technologies and integrate them into the enterprise AI stack (e.g., Semantic Kernel, Foundry SDK, etc.).