Job Description: 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.
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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.
