Generative AI Program Director

Job Summary :

• We are looking for a visionary and technically hands-on Associate Vice President (AVP) to lead strategic AI / ML initiatives focused on Generative AI, LLMs / VLMs, and Agentic Technologies. This role blends deep technical proficiency with people and program management, driving the development and deployment of next-generation AI systems across the organization.

Key Responsibilities :

Leadership & Team Management :

• Lead and manage a high-performing team of AI / ML engineers and data scientists.
• Foster a culture of innovation, experimentation, and continuous improvement.
• Provide technical direction, mentorship, and career development support.
• Project & Stakeholder Management :
• Gather and translate business requirements into AI / ML solutions.
• Manage project timelines, resources, and deliverables across cross-functional teams.
• Communicate progress, challenges, and opportunities to senior stakeholders and executives.
• Technical Execution & Innovation :
• Design, fine-tune, and deploy LLMs and VLMs for domain-specific and general-purpose use cases.
• Build and operationalize Agentic AI systems that leverage autonomous agents capable of reasoning, planning, and interacting with users, environments, and other agents.
• Develop and implement Agentic Technology frameworks, including task orchestration, memory management, and multi-agent collaboration.
• Leverage the NVIDIA stack (CUDA, TensorRT, Triton Inference Server, etc.) for high-performance model training and deployment.
• Build scalable ML pipelines and inference services using Python, PyTorch, TensorFlow, HuggingFace, and similar frameworks.
• Research & Thought Leadership :
• Stay current with cutting-edge research in Generative AI, LLMs / VLMs, Agentic Systems, and AI Infrastructure.
• Drive PoCs and pilot programs to evaluate new technologies and their business impact.
• Represent the AI function in strategic discussions, product roadmaps, and technology planning.
• Key Skills & Experience :
• 12–16 years of experience in AI / ML, with a minimum of 5 years in a leadership role.
• Proven track record in LLM / VLM fine-tuning, deployment, and real-world implementation.
• Deep expertise in Agentic AI technologies, autonomous agents, multi-agent systems, Observability, MCP / A2A and decision-making architectures.
• Strong background in Generative AI, including prompt engineering, RAG, and synthetic data generation.
• Hands-on experience with NVIDIA AI stack (CUDA, TensorRT, Triton, etc.) for optimized training / inference workflows.
• Strong proficiency in Python, with practical experience using ML frameworks like PyTorch, TensorFlow, HuggingFace Transformers.
• Excellent communication and stakeholder management skills.