AI Leader
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 →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 </div
Qualifications
BACHELOR OF BUSINESS MANAGEMENT
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