Responsible AI Consultant
Tata Consultancy Services · Bengaluru, Karnataka, India - Hyderabad, Telangana, India - Pune, Maharashtra, India
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Tata Consultancy Services · Bengaluru, Karnataka, India - Hyderabad, Telangana, India - Pune, Maharashtra, India
About the Unit: TCS AI is driving the vision of becoming the worlds largest AI-led technology services company, helping enterprises transform across the entire AI stack—from infrastructure to intelligence. With an action-oriented approach that goes beyond experimentation, TCS combines enterprise-grade AI platforms, model engineering, and human-centred design to deliver measurable business impact. At the heart of this transformation is data, enabling organisations to modernise their data ecosystems and infuse AI across customer value chains. For TCS, AI is not just a technology — It is the foundation of the next economy. REQUIRED SKILLS: • Bachelor's or Master's degree in a relevant field such as Computer Science, Data Science or a related discipline. • Overall 12+ years of experience of which at least 5+ years working in AI, data science, data governance, technology consulting, or a related field. • Strong understanding of key Responsible AI principles, including fairness, transparency, accountability, privacy, security, and robustness. • Familiarity with relevant regulations and standards (e.g., GDPR, CCPA, EU AI Act and other emerging AI regulations). • Experience in conducting ethical risk assessments and impact analyses for AI systems. • Excellent communication, presentation, and facilitation skills. • Strong problem-solving and analytical abilities. • Ability to work effectively both independently and as part of a collaborative team. Preferred Qualifications: • Certifications or training in Responsible AI or related areas. • Experience with specific Responsible AI tools and methodologies. • Familiarity with different AI development lifecycle methodologies (e.g., Agile, Waterfall). • Experience working with clients across various industries. • Knowledge of bias detection and mitigation techniques. • Understanding of explainable AI (XAI) methods.