- Serve as a trusted advisor to clients on all aspects of Responsible AI, building solid relationships and understanding their unique needs and challenges.
- Lead workshops and discussions to educate clients on Responsible AI principles, frameworks, and best practices.
- Collaborate with cross-functional teams (including data scientists, engineers, legal, and business stakeholders) to integrate Responsible AI considerations throughout the AI lifecycle.
- Communicate complex technical and ethical concepts clearly and effectively to both technical and non-technical audiences.
- Strategy and Framework Development:
- Develop and implement tailored Responsible AI strategies, frameworks, policies, and guidelines for clients.
- Conduct risk assessments and impact analyses to identify potential ethical, legal, and societal risks associated with AI systems.
- Advise on the implementation of fairness, transparency, accountability, and privacy-preserving techniques in AI development.
- Stay abreast of evolving regulations, standards,



and emerging best practices in the field of Responsible AI.
- Implementation and Governance:
- Support the integration of Responsible AI principles into AI development methodologies and governance structures.
- Contribute to the development of tools and processes for monitoring and evaluating the responsible performance of AI systems.
- Assist clients in establishing internal review boards and ethical oversight mechanisms for AI.
- Provide guidance on data governance practices relevant to Responsible AI.
- Thought Leadership and Knowledge Sharing:
- Contribute to the development of thought leadership content, such as white papers, blog posts, and presentations, on Responsible AI topics.
- Participate in industry events and conferences to represent TCS's expertise in Responsible AI.
- Mentor and guide junior team members on Responsible AI principles and practices.

📌 Responsible AI (Pune)
🏢 Tata Consultancy Services
📍 Pune