Gen AI - Engineering Lead

Job Title: Sr. Manager – AI/ML (Generative AI, Agentic & LLM/VLM Technologies) Experience: 8 to 14 years Location: NCR Department: Artificial Intelligence / Machine Learning / Emerging Technologies Job Summary We are looking for a visionary and technically hands-on Sr. Manager to lead strategic AI/ML initiatives focused on Generative AI, LLMs/VLMs, and Agentic Technologies. This role blends deep technical proficiency with project management, driving the development and deployment of next-generation AI systems across the organization. Key Responsibilities 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. - Foster a culture of innovation, experimentation, and continuous improvement. - Provide technical direction, mentorship, and career development support. 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 - 8–14 years of experience in AI/ML. - Proven track record in LLM/VLM fine-tuning, deployment, and real-world implementation. - Deep expertise in Agentic AI technologies, autonomous agents, multi-agent systems, 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.