Duties & Responsibilities

Architect and oversee end-to-end AI/ML platforms, including GenAI, LLMs, agentic workflows, and MLOps/LLMOps infrastructure. 

Lead the design and deployment of enterprise-grade GenAI applications, integrating advanced models (e.g., GPT-4, LLaMA, multimodal AI) for complex business use cases. 

Set technical standards for model selection, fine-tuning, evaluation, and responsible AI governance across teams. 

Drive adoption of best practices in data engineering, feature pipelines, and production AI using Databricks, Azure AI, Snowflake, Spark, Airflow, and related technologies. 

Champion Human-in-the-Loop (HITL) validation, feedback loops, and continuous improvement for production AI systems. 

Mentor and coach Lead/Staff AI Engineers, fostering technical excellence and career growth. 

Collaborate with cross-functional leaders (Product, Data, Engineering, Business) to define AI ...