AI Delivery Manager/Project Manager

OKAYA INFOCOM; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

OKAYA INFOCOM is seeking an experienced AI Delivery Manager to lead AI and Generative AI initiatives across multiple cities in the US. You will coordinate cross-functional teams, translate business requirements into execution plans, and drive the delivery of high-quality AI solutions.

The role requires solid PM experience in software delivery and a strong understanding of AI concepts, architectures, and agile practices.

Qualifications

• 5-8 years of experience managing software development or digital transformation projects.
• 2-3 years of experience delivering AI, ML, or Generative AI projects.
• Strong understanding of LLMs, AI agents, RAG, prompt engineering, and AI architectures.

Responsibilities

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

Skills

Project management

AI project management

Stakeholder coordination

Agile delivery

Cross-functional leadership

Tools

Jira

Confluence

Cloud platforms (AWS/Azure/GCP)

Job description

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 methodologies and tools such as Jira and Confluence.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Strong understanding of REST APIs, system integrations, and modern software development lifecycles.
• Excellent stakeholder communication and coordination skills.
• Experience managing cross-functional teams of 5-15 members.