Lead / Sr. Manager AI/ML Engineering

Key Responsibilities

• Design and develop AI agents using modern frameworks such as LangChain, LlamaIndex, Semantic Kernel, and Databricks Agents
• Architect scalable multi-agent systems enabling collaboration, shared context, autonomous execution, and human-in-the-loop workflows
• Build secure and optimized integrations between AI agents and enterprise data sources including APIs, Databricks Lakehouse, internal platforms, and unstructured datasets
• Leverage Databricks (Lakehouse, MLflow, Workflows, Unity Catalog) to build end-to-end AI/ML pipelines and enable RAG workflows
• Lead and mentor engineers, specialists, and data scientists in AI/ML tools, agent frameworks, and best practices
• Partner with global cross-functional stakeholders to deliver AI-driven automation and actionable insights
• Collaborate closely with business and product sponsors to align AI initiatives with strategic opportunities through hypothesis validation and predictive modeling
• Define strategic approaches for innovative data usage and influence enterprise data design decisions
• Establish best practices for agent evaluation, monitoring, feedback loops, and performance optimization
• Ensure secure data access governance using OAuth2, OIDC, JWT, RBAC, and compliant access patterns for regulated datasets