AI Delivery Manager/AI Project Manager(Multiple Openings)

Company: OKAYA INFOCOM

Location: New York, NY

Type: Full-time

Posted: 2026-09-24

About this role

AI Delivery Manager/AI Project Manager in Minneapolis ,MN / Cincinnati OH/NYC/NJ Full Time

Position Overview

We are looking for a technically strong AI Project Manager to lead the execution of AI and Generative AI initiatives. This role will manage project delivery, coordinate cross-functional teams, and work closely with AI engineers, architects, product managers, and business stakeholders to ensure successful implementation of AI solutions.

The ideal candidate combines solid project management experience with a strong understanding of AI technologies and software engineering practices. While not expected to build AI models, they should be comfortable discussing technical designs, managing delivery risks, and translating business requirements into execution plans.

Key Responsibilities

  • Manage end-to-end delivery of AI and Generative AI projects.
  • Create project plans, sprint schedules, release roadmaps, and milestone tracking.
  • Coordinate AI engineers, software developers, data engineers, QA, UX, and product teams.
  • Work with solution architects to translate business requirements into technical execution plans.
  • Monitor project progress, risks, dependencies, budgets, and resource allocation.
  • Facilitate Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives.
  • Track project KPIs and communicate status to stakeholders.
  • Ensure timely delivery while maintaining quality and governance standards.
  • Coordinate UAT, production releases, and post-deployment support.
  • Drive continuous process improvements and AI delivery best practices.

Required Qualifications

  • 5–8 years of experience managing software development or digital transformation projects.
  • 2–3 years of experience delivering AI, Machine Learning, or Generative AI projects.
  • Strong understanding of LLMs, AI agents, Retrieval-Augmented Generation (RAG), prompt engineering concepts, and AI application architectures.
  • Experience working with Agile methodo...

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