
Assistant Vice President
3 weeks ago
- Experience: 12 to 16 years
- Location: NCR
- Department: Artificial Intelligence / Machine Learning / Emerging Technologies
Job Summary:
- We are looking for a visionary and technically hands-on Associate Vice President (AVP) to lead strategic AI/ML initiatives focused on Generative AI, LLMs/VLMs, and Agentic Technologies. This role blends deep technical proficiency with people and program management, driving the development and deployment of next-generation AI systems across the organization.
Key Responsibilities:
Leadership & Team Management:
- Lead and manage a high-performing team of AI/ML engineers and data scientists.
- Foster a culture of innovation, experimentation, and continuous improvement.
- Provide technical direction, mentorship, and career development support.
- 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.
- 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:
- 12–16 years of experience in AI/ML, with a minimum of 5 years in a leadership role.
- Proven track record in LLM/VLM fine-tuning, deployment, and real-world implementation.
- Deep expertise in Agentic AI technologies, autonomous agents, multi-agent systems, Observability, MCP/ A2A 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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