AI Leader and scale AI led solutions – AGM/AVP- Chennai/Mumbai

Location: Mumbai, Thane, Chennai   •   Experience: Senior Level   •   Openings: 1
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Job description

Job Title – AI Leader and scale AI led solutions
Location – Chennai/Mumbai  
 
Job Description:
 
An AI leader with experience of driving digital transformation by implementing agentic AI, automation pipelines, LAM and LLMs to transform operations and enhance customer experience.
They require deep knowledge in generative AI, process re-engineering, and P&L management.
Experience: 20+ years of experience with exposure in BFSI domain, and playing various roles into IT, BPS, consulting, and digital transformation
Technical Acumen: Deep understanding of Large Action Models (LAMs), LLM, decision AI, machine learning, and AI application within enterprise software.
Business Impact: Demonstrated success improving operating margins, scaling revenue, and managing global teams
Domain Expertise: Deep understanding of BPS/BPO domains, intelligent process automation (IPA), and Cognitive Optical Character Recognition (OCR).
Technical Acumen: Familiarity with ML, LLMs, and cloud infrastructure to make strategic "build vs. buy" decisions
Leadership & Communication: Strong capability in translating complex technical metrics into financial outcomes for executive stakeholders and clients.
Intelligent Automation Strategy: Define the enterprise roadmap for implementing AI, Machine Learning, and GenAI to replace rule-based tasks with predictive, cognitive workflows.
Use Case Prioritization: Identify high-ROI operational inefficiencies across verticals (e.g., healthcare, retail, travel) and manage the development of scalable AI solutions.
AI Governance & Risk: Ensure deployed AI tools comply with ethical frameworks, data privacy regulations (e.g., GDPR), and industry security standards.
Center of Excellence (CoE): Launch and oversee an AI CoE to foster innovation, establish best practices, and manage sandbox/pilot testing programs.
Cross-Functional Collaboration: Partner with operations, IT, legal, and client-facing teams to seamlessly transition AI capabilities into everyday business operations.
 
Roles and Responsibility:
 
AI Strategy & Governance: Formulating the roadmap for scaling AI platforms and agentic workflows safely and compliantly.
Operational Optimization: Replacing manual data entry and reconciliation with autonomous AI agents that cut cycle times.
Workforce Transformation: Upskilling associates, implementing copilot-guided SOPs, and transitioning BPS models from cost-cutting to strategic growth drivers.