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

AI Program Delivery

• 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

Client & Stakeholder Management

• 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

Delivery & Program Management

• 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

AI & Technology Leadership

• 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/Google Cloud Platform/Azure)

• Provide guidance on solution architecture for AI systems

Transformation & Innovation

• 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