AVPI-Senior Gen AI Engineer

Company: Revantage, A Blackstone Portfolio Company

Location: Bengaluru

Type: Full-time

Posted: 2026-09-15

About this role

Position Objective:
The Senior Gen Artificial Intelligence (AI) Engineer leads the design, development, and deployment of enterprise-grade AI-powered applications that leverage Large Language Models (LLMs) including Claude (Anthropic) and ChatGPT/OpenAI models within a Microsoft Azure and Databricks environment. This role serves as a technical authority, driving architectural decisions, mentoring engineering peers, and partnering with business stakeholders to translate complex requirements into scalable, production-ready AI solutions that deliver measurable impact across leasing, operations, and property management domains.
Job Responsibilities: (OTHER DUTIES MAY BE ASSIGNED)
 Architect, develop, and own end-to-end delivery of enterprise AI-powered applications using Claude, ChatGPT, OpenAI APIs, Anthropic APIs, and other LLM platforms, establishing reusable patterns and engineering standards for the team.
 Lead the design and implementation of intelligent agents, copilots, agentic workflows, and knowledge management systems; define architectural guardrails and review implementations across the engineering team.
 Lead front-end architecture decisions and build highly scalable applications using React, Next.js, Angular, or similar frameworks; enforce coding standards, accessibility, and performance benchmarks.
 Design and govern secure authentication, authorization, and user management systems across AI application surfaces, ensuring compliance with organizational security standards.
 Champion user experience quality by developing and reviewing responsive interfaces that enable intuitive, high-performance interaction with AI systems.
 Drive advanced prompt engineering, multi-step agent workflow design, memory and context management, and Model Context Protocol (MCP)-based tool integrations; establish evaluation frameworks and best practices adopted across the engineering organization.
 Own AI model performance evaluation and optimization progr...

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