Manager-AI Delivery

JobType: full-time

We are looking for a seasoned AI Delivery Manager to oversee the complete delivery lifecycle of AI/ML and GenAI-driven projects for enterprise clients. The successful candidate will demonstrate strong experience in global delivery leadership, managing large-scale programs, and direct involvement with AI/ML/GenAI initiatives.

This position demands a combination of technical expertise, stakeholder engagement, and exceptional execution skills, emphasizing the ability to scale AI solutions from proof-of-concept to full production deployment.

• 10 to 15 years of experience in delivery and program management.
• Demonstrated success in managing large-scale enterprise programs.
• Practical experience with AI/ML/GenAI projects for at least 1 to 3 years.
• Strong expertise in:
• Global delivery models
• Stakeholder management
• Budget oversight and portfolio ownership
• A background in data platforms or managing large-scale enterprise systems is highly desirable.

• Oversee the complete delivery lifecycle of AI/ML and GenAI programs, from initial ideation and proof of concept through to production deployment.
• Coordinate multiple AI projects, including:
• Applications of Large Language Models (RAG, agents, copilots)
• Deployment of data science and machine learning models
• AI-driven automation and business transformation initiatives
• Ensure projects are delivered on schedule with high quality and cost-effectiveness throughout engagements.

• Serve as a trusted advisor to enterprise clients operating in data-intensive sectors.
• Collaborate closely with senior leadership (CTO, CIO, Product Heads) to establish AI strategies and roadmaps.
• Drive account growth and explore expansion opportunities.

• Manage extensive, multi-million dollar portfolios and programs.
• Lead distributed and global teams comprising engineering, data science, and product professionals.
• Implement delivery governance frameworks, establish KPIs, and maintain reporting mechanisms.
• Ensure compliance with Agile and Scrum methodologies and best practices.

• Collaborate closely with AI/ML teams on:
• Model development lifecycles
• MLOps and deployment strategies
• Data pipeline management and cloud infrastructure
• Promote adoption of:
• Generative AI tools (such as LangChain, LlamaIndex, OpenAI, etc.)
• Cloud platforms including AWS, GCP, and Azure
• Offer guidance on AI system solution architecture.

• Lead initiatives driving AI-based digital transformation.
• Identify opportunities to:
• Automate legacy systems
• Enhance efficiency through AI technologies
• Reduce operational costs with intelligent solutions

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