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Job Role - Senior Generative AI Engineer - Vice President. Job Location - Chennai. Senior Generative AI Engineer - Vice President is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to drive applications systems analysis and programming activities.
Job Responsibility:
Manage one or more Applications Development teams
Conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions)
Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight
Review and analyze proposed technical solutions for projects
Contribute to formulation of strategies for applications development and other functional areas
Develop comprehensive knowledge of how areas of business integrate to accomplish business goals
Provide evaluative judgment based on analysis of factual data in complicated and unique situations
Impact the Applications Development area through monitoring delivery of end results, participate in budget management, and handling day-to-day staff management issues
Ensure essential procedures are followed and contribute to defining standards
Appropriately assess risk when business decisions are made
Requirements:
9-15 years hands-on experience as Generative AI Engineer with proven expertise of building and deploying AI agents, LLM integration, RAG pipelines, prompt engineering and the end-to-end MLOps lifecycle. Frameworks like LangChain and AutoGen
Strong command of Python, PyTorch, TensorFlow, and Hugging Face libraries
Hands-on experience with LangChain, LlamaIndex, vector databases, and fine-tuning techniques (LoRA, QLoRA)
Proven ability to integrate AI models into web applications via APIs (OpenAI, Anthropic)
Solid understanding of software engineering best practices, including Git, CI/CD, and Docker
Bachelor's degree/University degree or equivalent experience
Nice to have:
Experience with multimodal AI models (image, video, audio generation)
Published AI/LLM research or contributions to open-source AI projects
Background in AI governance or safety policy development