Project Role : Responsible AI Tech Lead Project Role Description : Ensure the ethical and responsible use of artificial intelligence (AI) technologies. Design and deploy Responsible AI solutions; align AI projects with ethical principles and regulatory requirements. Provide leadership, fosters cross-functional collaboration, and advocates for ethical AI adoption.

Must have skills : Generative AI Valuable to have skills : Python (Programming Language), Microservices and Light Weight Architecture, Microsoft Azure DevOps Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: We are seeking an experienced AI Refinery Developer with strong expertise in AI, Generative AI, and RAG-based systems. The role involves maintaining and enhancing an existing AI application built on AI Refinery (AIR), developed using FastAPI, and integrated within NVIDIA Omniverse, a 3D simulation and content creation platform.

Roles & Responsibilities: Maintain, enhance, and optimize the existing AI application/service built on AI Refinery (AIR).

Manage and improve AI chat functionalities that respond based on the contextual data from 3D environments/scenes.

Handle orchestrator-based tool services for manipulating and controlling 3D scene objects.

Develop and maintain RAG (Retrieval-Augmented Generation) based answering services for queries related to historical project deliveries.

Understand, integrate,



and maintain various AIR services and workflows used across the application.

Collaborate with cross-functional teams to support feature enhancements and ensure system stability.

Professional & Technical Skills: Must-Have Skills Strong proficiency in Python and FastAPI for backend development.

Hands-on experience with AI Refinery (AIR), LangChain, or similar LLM orchestration frameworks.

Experience working with databases such as SQL, NoSQL, and VectorDB.

Solid understanding of RAG workflows, LLM integrations, and context-based AI applications.

Experience in integrating AI/ML models into production environments.

Familiarity with document analysis, LLM-based chat systems, and data processing workflows. Valuable to Have Skills Experience with cloud infrastructure (Azure/AWS/GCP) and DevOps practices.

Exposure to NVIDIA Omniverse, 3D tools, or simulation-based environments.

Understanding of microservices, containerization (Docker), and CI/CD pipelines.

Additional Information: Primary Skill (Accenture Standard): AI

Secondary Skills (recommended): Generative AI, Python, FastAPI, RAG, Vector Databases, LangChain, AI Refinery

Work involves close collaboration with AI, backend, and 3D pipeline teams.

Experience in NVIDIA ecosystem is a strong advantage.

Suitable for candidates interested in advanced AI workflows, 3D scene understanding, and enterprise AI solutions.

This position is based at our Bengaluru office.

A 15 years full time education is required.

📌 Responsible AI Tech Lead (Bengaluru)
🏢 Accenture in India
📍 Bengaluru