Key skills
AIGenerative AIGenAILLMRAGAgenticMLOpsAnalyticsAWSAzureGCPAgileLeadershipStakeholder ManagementRisk ManagementTeam LeadershipSales
About this role
Lead enterprise-scale AI and Generative AI delivery programs, driving measurable business outcomes across clients. Own end-to-end execution, stakeholder engagement, and solution scaling, while shaping AI-led transformation journeys.
Delivery Leadership
- Own end-to-end delivery of AI/GenAI programs across multiple accounts
- Drive timely, high-quality execution with clear business outcomes (revenue, cost, efficiency)
- Establish delivery governance, KPIs, and performance tracking
Program & Portfolio Management
- Manage a portfolio of AI initiatives (GenAI, automation, advanced analytics)
- Lead program planning, risk management, and cross-functional alignment
- Ensure scalable delivery using Agile, MLOps, and LLMOps practices
Client & Stakeholder Management
- Act as a trusted advisor to senior client stakeholders
- Translate business problems into AI-led solutions and execution roadmaps
- Drive client satisfaction, retention, and growth
AI Solution Oversight
- Guide teams on LLM-based applications, RAG architectures, and agentic workflows
- Ensure solutions meet enterprise standards (scalability, security, governance)
- Promote use of reusable assets and accelerators
Business Growth & Pre-Sales
- Support AI solutioning for large deals and strategic bids
- Partner with sales to develop value propositions and proposals
- Identify expansion opportunities within accounts
Team Leadership
- Build and lead high-performing AI teams (architects, data scientists, engineers)
- Mentor leaders and drive capability development in GenAI
- Foster a culture of ownership, innovation, and delivery excellence
- 12–15 years in AI/Analytics delivery, consulting, or digital transformation
- Proven experience managing end-to-end delivery of enterprise-scale programs
- Strong exposure to Generative AI (LLMs, RAG, AI automation)
- Experience working with enterprise clients and senior stakeholders
- Solid understanding of cloud ecosystems (AWS / Azure / GCP)
- Track record of leading teams and driving multi-program execution