Responsible AI Tech Lead

 About The Role  

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

Good to have skills :Python (Programming Language), Microsoft Azure DevOps, Microservices and Light Weight Architecture
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.Good 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. Qualification 15 years full time education