[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Mumbai # AI Leader Mumbai Operations Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/418047J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / AI Leader ## Job description ### Role Summary We are seeking a visionary AI Transformation Leader to drive enterprise-wide adoption of Agentic AI, Generative AI (GenAI), and Intelligent Automation. This role will focus on transforming traditional BPS operations into AI-powered, scalable, and value-driven business models. The ideal candidate will bring deep expertise in LLMs, LAMs, automation pipelines, and process re-engineering, along with strong P&L ownership and stakeholder management experience. ### Key Responsibilities AI Strategy & Transformation - Define and execute the enterprise AI roadmap, leveraging GenAI, LLMs, and Agentic AI systems - Drive digital transformation initiatives by replacing rule-based systems with predictive, cognitive workflows - Lead build vs. buy decisions for AI platforms and enterprise solutions ### Intelligent Automation & Use Case Delivery - Identify and prioritize high-ROI automation opportunities across BFSI and BPS processes ### Implement Intelligent - Process Automation (IPA) and Cognitive OCR solutions - Deploy autonomous AI agents to reduce cycle time, improve accuracy, and enhance productivity AI Governance & Compliance Establish Responsible AI frameworks, ensuring adherence to GDPR, data privacy, and regulatory standards Manage AI risk, bias mitigation, and security compliance across all solutions AI Center of Excellence (CoE) - Set up and lead an AI CoE to drive innovation, best practices, and reusable assets - Oversee pilot programs, sandbox environments, and scaling strategies ### Operational & Business Impact - Improve operating margins, efficiency, and revenue growth through AI adoption Transform customer experience using AI-driven insights and automation - Drive process re-engineering and optimization initiatives ### Leadership & Stakeholder Management - Collaborate with business, IT, legal, risk, and client teams - Translate technical AI concepts into business and financial outcomes - Lead global teams and mentor talent in AI and automation ### Core Technical Skills Generative AI (GenAI), Large Language Models (LLMs) Large Action Models (LAMs) and Agentic AI frameworks Machine Learning, Decision AI, and Predictive Analytics Intelligent - Process Automation (IPA) & Cognitive OCR AI/ML platforms on Azure, AWS, or GCP MLOps / AI Ops / Automation Pipelines Domain Expertise - Strong experience in BFSI / BPS / BPM environments Deep understanding of back-office operations, risk, compliance, and financial processes Leadership & Business Skills Proven P&L man agement and revenue growth impact Experience driving enterprise digital transformation programs - Strong stakeholder communication and executive reporting skills ### Preferred Qualifications Experience building and scaling AI CoEs Exposure to Copilot ecosystems and AI-assisted workforce transformation Consulting or transformation leadership background Experience managing global teams and large-scale programs