Responsible AI Tech Lead

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), 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. 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. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.