AI Delivery Manager

JobType: full-time

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.

• 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

• 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

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