About this role
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.
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