ZipRecruiter

Log In

1

Ai Project Jobs (NOW HIRING)

Medpace, Inc.

AI Project Manager

Cincinnati, OH · On-site

Serve as primary AI contact for oversight of operational project-specific issues and work with teams on project deliverables; * Support the CAIO with global initiatives such as analysis and expansion ...

Medpace, Inc.

AI Project Manager

Cincinnati, OH · On-site

Serve as primary AI contact for oversight of operational project-specific issues and work with teams on project deliverables; * Support the CAIO with global initiatives such as analysis and expansion ...

Diverse Lynx

Technical AI Project Manager

Irvine, CA · Hybrid

Technical AI Project Manager Onsite/Hybrid/Remote: onsite only Position Overview The Technical AI Project Manager plays a critical role in driving the successful delivery of Artificial Intelligence ...

Sales-Hub

AI Project Manager

Chino Hills, CA · On-site

The AI Project Manager will oversee AI-related projects, ensuring successful implementation and integration of AI tools to enhance sales processes and drive business growth. Company : Sales-Hub ...

TechNix LLC

AI Project Manager

West Sacramento, CA

AI Project Manager Duration: 24 Months with an option to extend for additional 24 Months Location: West Sacramento, CA (Onsite from day 1) Estimated Start Work Date: August 2026 The total services ...

Spruce Infotech

AI Project Manager

Lincolnshire, IL · On-site

The ideal candidate brings a strong background in project delivery along with the ability to operate in a fast-paced, evolving AI environment. This individual will work across technical and business ...

pocstock

AI Project Manager

Newark, NJ · On-site

The AI Project Manager leads and executes data-driven projects, managing workflows to ensure accurate and efficient delivery of datasets while maintaining quality and organization. Responsibilities ...

Yantran LLC

Technical AI Project Manager

Irvine, CA · On-site

Technical AI Project Manager Irving, CA Leading AI Initiatives with Technical Expertise and Strategic Vision Position Overview The Technical AI Project Manager plays a critical role in driving the ...

Thinklusive

Gen AI Project Manager

Boston, MA · Hybrid

Gen AI Project Manager Location: Boston, MA Job Type: Hybrid / 3 Days Onsite Role Overview The AI Project / Program Manager will own end-to-end delivery and governance of a portfolio of AI ...

University of Minnesota

AI Project Manager

Minneapolis, MN · Hybrid

$36.06 - $40.39/hr

AI Project Manager Job code: 8422PM (CO Pro 2-Proj Mgmt-Non IT) Employee Group: Civil Service Full/Part Time (FTE): Full time (1 FTE) About the Job: The Project Manager provides support and expertise ...

Vizient

AI Project Manager

Chicago, IL

$68.50K - $116.30K/yr

Support cross-functional teams across the full project lifecycle, with a focus on AI-enabled and data-driven initiatives. * Establish and maintain strong working relationships with key operational ...

Vizient, Inc.

AI Project Manager

Chicago, IL · On-site

$68.50K - $116.30K/yr

Support cross-functional teams across the full project lifecycle, with a focus on AI-enabled and data-driven initiatives. Establish and maintain strong working relationships with key operational ...

next page

Showing results 1-20

People also search for

All JobsAi Project Jobs

Ai Project information

See salary details

$47K

$107.1K

$190K

How much do ai project jobs pay per year?

As of May 28, 2026, the average yearly pay for ai project in the United States is $107,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Project Manager, and why are they important?

To thrive as an AI Project Manager, you need a solid understanding of artificial intelligence concepts, project management methodologies, and experience in leading technical teams, often supported by a degree in computer science or engineering. Familiarity with tools like Jira, Agile/Scrum frameworks, and cloud platforms (e.g., AWS, Azure), as well as certifications like PMP or Scrum Master, is typically required. Excellent communication, problem-solving, and leadership skills help coordinate diverse teams and translate complex technical requirements for stakeholders. These competencies are crucial for delivering AI projects on time and within scope while ensuring alignment between business goals and technical solutions.

What are some common challenges faced when managing AI projects, and how can they be addressed?

Managing AI projects often involves unique challenges such as data quality issues, aligning stakeholder expectations, and navigating rapidly evolving technologies. Teams may struggle with acquiring sufficient, high-quality data or ensuring that AI models are explainable and ethical. Open communication, agile project management practices, and close collaboration between data scientists, engineers, and business stakeholders help address these challenges. Staying up to date with industry standards and fostering a culture of continuous learning are also key to successful AI project management.

What are AI projects?

AI projects are initiatives that involve the development and implementation of artificial intelligence technologies to solve specific problems, automate processes, or enhance decision-making. These projects can range from building machine learning models for predictive analytics to creating intelligent chatbots or computer vision systems. AI projects typically require a multidisciplinary team, including data scientists, software engineers, and domain experts, and follow a structured process including data collection, model training, evaluation, and deployment. The goal is to leverage AI to deliver tangible improvements or innovations in a particular field or industry.

What is the difference between Ai Project vs Data Scientist?

AspectAi ProjectData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related; certifications in data analysis or machine learning
Work EnvironmentProject-based teams, often in tech companies or AI startupsData analysis teams, research labs, or corporate analytics departments
Industry UsageUsed across tech, healthcare, finance, and more for AI developmentApplied in research, business analytics, and data-driven decision making

While both roles involve working with data and algorithms, an Ai Project focuses on developing and implementing AI solutions, whereas a Data Scientist analyzes data to extract insights. The roles often overlap but differ mainly in scope and focus.

More about Ai Project jobs
What cities are hiring for Ai Project jobs? Cities with the most Ai Project job openings:
What are the most commonly searched types of Ai Project jobs? The most popular types of Ai Project jobs are:
What states have the most Ai Project jobs? States with the most job openings for Ai Project jobs include:
What job categories do people searching Ai Project jobs look for? The top searched job categories for Ai Project jobs are:
Ai Project jobs near you
Infographic showing various Ai Project job openings in the United States as of May 2026, with employment types broken down into 72% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $107,124 per year, or $51.5 per hour.

AI Project Manager

Purple Drive Technologies

Woodland Hills, CA • On-site

Full-time

Posted 15 days ago

Job description

Overview:
AI Project Manager (AI/ML Delivery | Agile | Enterprise Programs)
Job Summary
We are seeking an experienced AI Project Manager to lead and deliver AI and AI-integrated projects from initiation to deployment.
The ideal candidate will have strong experience managing AI/ML projects, working closely with data scientists, AI engineers, and business stakeholders, and ensuring successful delivery aligned with business goals.
Key Responsibilities
End-to-End AI Project Delivery
  • Manage full lifecycle of AI projects:
    • Initiation → Planning → Execution → Deployment → Closure
  • Ensure delivery within:
    • Scope, timeline, and budget
Project Planning & Execution
  • Define:
    • Project scope
    • Timelines
    • Milestones
    • Deliverables
  • Manage:
    • Multiple workstreams across AI initiatives
Stakeholder Management
  • Collaborate with:
    • Data Scientists
    • AI/ML Engineers
    • Architects
    • Business stakeholders
  • Act as:
    • Primary point of contact for project communication
Risk & Issue Management
  • Identify:
    • Risks, dependencies, and blockers
  • Develop:
    • Mitigation strategies
  • Track and resolve issues proactively
AI Solution Alignment
  • Ensure alignment between:
    • Business requirements
    • AI/ML technical solutions
  • Support translation of:
    • Business needs → Technical execution
Monitoring & Reporting
  • Track:
    • Project progress
    • KPIs and deliverables
  • Provide:
    • Regular status updates to stakeholders
Quality & Governance
  • Ensure adherence to:
    • Quality standards
    • Compliance requirements
    • Governance frameworks
Agile Delivery
  • Work within:
    • Agile / Scrum / Hybrid models
  • Facilitate:
    • Sprint planning
    • Stand-ups
    • Reviews
• Required Skills
Project Management
  • End-to-end project delivery
  • Stakeholder management
  • Risk & issue management
AI/ML Understanding
  • Knowledge of:
    • AI/ML lifecycle
    • Model development & deployment
  • Experience managing:
    • AI/ML or data-driven projects
Tools & Methodologies
  • Agile / Scrum
  • Project management tools (Jira, etc.)
Soft Skills
  • Strong communication
  • Leadership and coordination
  • Analytical and problem-solving skills
Experience Required
  • 6-10+ years of experience in:
    • Project Management / Delivery roles
  • Proven experience in:
    • AI / ML / Data projects
Preferred Skills
  • PMI-ACP / PMP certification
  • Experience in:
    • Enterprise-scale AI programs
  • Exposure to:
    • Data-driven environments

Apply