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.

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