AI Technical Project Manager / AI Program Manager

AI Technical Project Manager / AI Program Manager – Job Description

General Information

• Job Title: AI Technical Project Manager / AI Program Manager

• Location: Chicago, IL / Minneapolis, MN

• Preferred Work Location: Minneapolis, MN

• Other Work Options: Chicago, Dallas, or Remote

• Work Model: Onsite / Hybrid, with flexibility

• Duration: 6 months (as specified in the role details)

• Education Start Date: 15-Sep-2026

• Assignment Duration in Education Details: 24 months

• Experience Range: 12+ years

• Base Salary Range: $142,000–$150,000

• Essential Skill: AI Technical Project Management

• Desirable Skill: Project Management

• Experience Required for Project Management: 6–8 years

Education Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field.

• Equivalent professional experience may be considered.

Role Description

• Lead the design, development, and deployment of AI/ML and Generative AI solutions.

• Manage technical teams and ensure alignment with business objectives.

• Oversee end-to-end AI program delivery, from planning and execution to monitoring.

• Manage multiple AI workstreams across enterprise environments.

• Ensure effective coordination between business stakeholders and technical delivery teams.

• Drive program governance, risk management, and responsible AI compliance.

Must-Have Technical and Functional Skills

• AI/ML program delivery and lifecycle management.

• Agile/Scrum project management.

• Enterprise-scale, multi-workstream program management.

• Stakeholder management across business and IT leadership.

• AI/ML and Generative AI delivery experience, including:

  • Large Language Models (LLMs)

  • Retrieval-Augmented Generation (RAG)

  • Agentic AI and agentic workflows

• Financial and budget management, including Statements of Work (SoW) and forecasting.

• Risk and governance management, including RAID logs and compliance.

• Cross-functional team leadership.

• AI lifecycle management and model deployment.

• Enterprise AI platform and AI transformation experience.

Roles and Responsibilities

• Lead end-to-end AI workstream delivery, including planning, execution, and monitoring.

• Develop and manage project plans, timelines, dependencies, and resource allocation.

• Drive Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives.

• Serve as the primary point of contact between stakeholders and delivery teams.

• Ensure governance, compliance, and responsible AI practices are followed.

• Coordinate across AI engineering, data, architecture, and quality assurance (QA) teams.

• Track key performance indicators (KPIs), including timelines, quality, and business outcomes.

• Manage budgets, financial forecasts, and vendor coordination.

• Identify and mitigate risks, issues, and dependencies through RAID management.

• Lead cross-functional AI teams and oversee delivery model execution.

• Monitor program progress and ensure delivery milestones are achieved.

• Manage scope changes, escalations, and stakeholder expectations.

• Ensure AI initiatives deliver measurable business value.

Generic and Managerial Skills

• Strong stakeholder communication skills across executive and technical audiences.

• Leadership of cross-functional AI, data science, and engineering teams.

• Program governance and decision-making capabilities.

• Risk management and escalation handling.

• Financial planning, budgeting, and cost control.

• Vendor and partner management.

• Delivery excellence and quality assurance.

• Change and scope management.

• Strong organizational, analytical, and problem-solving skills.

• Ability to manage multiple priorities in an enterprise environment.

Keywords to Search in Resumes

• AI Project Manager

• AI Program Manager

• AI/ML Delivery

• Machine Learning Programs

• Generative AI (GenAI)

• Large Language Models (LLM)

• Retrieval-Augmented Generation (RAG)

• Agentic AI

• Enterprise AI Platform

• AI Transformation

• Agile/Scrum Project Management

• Stakeholder Management

• Executive Communication

• RAID Logs

• Risk Management

• Statement of Work (SoW)

• Budget Management

• Financial Tracking

• AI Lifecycle Management

• Model Deployment

• Cross-functional Team Leadership

• Responsible AI Governance

Pre-Screening Questionnaire

• Do you have 3–5+ years of experience managing AI/ML programs?

• Have you managed multiple AI workstreams in enterprise environments?

• Do you have experience with Generative AI/LLM use cases, including RAG and agentic workflows?

• Have you led Agile project delivery and facilitated Scrum ceremonies?

• Have you handled budgeting, financial forecasting, or SoW management?

• Do you have experience with risk management, RAID logs, and escalations?

• Have you worked with cross-functional AI teams across data, engineering, and architecture?

• Do you have experience managing stakeholders at the leadership and executive levels?

Important Clarifications

• Duration discrepancy: The general information states 6 months, while the education details specify a 24-month assignment. Confirm the actual contract duration with the recruiter.

• Experience discrepancy: The role specifies 12+ years of overall experience, while the project management skill requirement lists 6–8 years. The pre-screening questionnaire asks for 3–5+ years of AI/ML program management experience. Confirm the required experience criteria before screening candidates.