AI Delivery Manager

Weekday AINew York, NY
Onsite

About The Position

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.

Requirements

  • 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
  • AI model deployment
  • MLOps
  • Data science delivery

Nice To Haves

  • Background in data platforms or large-scale enterprise systems is highly preferred
  • AI/ML Program Manager
  • AI Product Delivery Manager
  • Data & AI Program Manager

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
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service