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 Senior 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 to 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.