AI Delivery Manager

Role Overview

We are seeking an experienced AI Delivery Manager to lead end-to-end delivery of AI/ML and GenAI-driven programs across enterprise clients. The ideal candidate will bring strong global delivery leadership, large-scale program management, and hands-on exposure to AI/ML/GenAI initiatives. This role requires a blend of technical depth, stakeholder management, and execution excellence, with a focus on scaling AI solutions from POC to production.

Key Responsibilities

• Lead end-to-end delivery of AI/ML and GenAI programs, from ideation and POC to production deployment
• Manage multiple AI initiatives including: LLM applications (RAG, agents, copilots), data science and ML model deployment, AI-driven automation and transformation programs
• Ensure timely delivery, quality, and cost efficiency across engagements
• Act as a trusted advisor to enterprise clients across data-intensive domains
• Collaborate with senior stakeholders (CTO, CIO, Product Heads) to define AI strategy and roadmap
• Drive account growth and expansion opportunities
• Manage large-scale, multi-million dollar portfolios/programs
• Lead distributed/global teams across engineering, data science, and product
• Establish delivery governance, KPIs, and reporting mechanisms
• Ensure adherence to Agile/Scrum methodologies and best practices
• Work closely with AI/ML teams on: Model development lifecycle, MLOps and deployment strategies, data pipelines and cloud infrastructure
• Drive adoption of: GenAI tools (LangChain, LlamaIndex, OpenAI, etc.), Cloud platforms (AWS/GCP/Azure)
• Provide guidance on solution architecture for AI systems
• Lead AI-led digital transformation initiatives
• Identify opportunities to: Automate legacy systems, Improve efficiency using AI, Reduce operational costs via intelligent solutions

Required Qualifications

• 10-15 years of experience in delivery/program management
• Proven track record in managing large-scale enterprise programs
• Hands-on exposure to AI/ML/GenAI projects (minimum 1-3 years)
• Strong experience in: Global delivery models, Stakeholder management, Budget and portfolio ownership
• Background in data platforms or large-scale enterprise systems is highly preferred
• Must-have skills: AI model deployment, MLOps, Data science delivery, Good-to-have skills: AI/ML Program Manager, AI Product Delivery Manager, Data & AI Program Manager