Senior Generative AI Engineer - Vice President

Senior Generative AI Engineer - Vice President

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Job Req :

Location(s):

Chennai, Tamil Nadu, India

Job Type:

Hybrid

Posted:

Apr. 09, 2026

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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.

Responsibilities:

• Manage one or more Applications Development teams in an effort to accomplish established goals as well as 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 across systems and applications
• 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, including resource management and allocation of work within the team/project
• Ensure essential procedures are followed and contribute to defining standards negotiating with external parties when necessary
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Must to have 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 Lang Chain and Auto Gen

Key Responsibilities:

• AI Agent Development:Build and orchestrate AI agents using frameworks like Lang Chain, Auto Gen, or CrewAI, implementing self-healing workflows (e.g., Act-Verify-Refine loops).
• LLM Integration & Backend:Develop robust backend systems using Python and Type Script, integrating LLMs into microservices architectures.
• Data Management for LLMs:Utilize vector databases (Pinecone, Milvus, Weaviate) for agent memory and architect Retrieval-Augmented Generation (RAG) pipelines to enhance LLM accuracy and contextual understanding.
• Prompt Engineering:Design and optimize prompt strategies, including automated evaluation frameworks, for high-quality LLM output.
• Context Engineering:Manage LLM information ecosystems, including system prompts, RAG implementation, and conversation history.
• MLOps & Deployment:Oversee the end-to-end lifecycle of generative models, focusing on inference speed, cost-efficiency, and scalability on cloud platforms (AWS, GCP, Azure).
• AI Ethics & Compliance:Ensure adherence to security standards, IP regulations, and safety guidelines for all generative models.
• Tool Orchestration:Define and manage the API/tool access for AI agents to optimize accuracy.

Required Skills &

Qualifications:



• Technical Proficiency:Strong command of Python, PyTorch, Tensor Flow, and Hugging Face libraries.
• GenAI
  
  Experience:
  
  Ha…