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Ai Project Jobs (NOW HIRING)

Lewis

AI Project Manager

Clayton, NC

Evaluate emerging software and AI-enabled tools and platforms, distinguishing high-impact ... Manage multiple projects across companies, balancing strategy development with hands-on execution

NICE

AI Project Manager, CX

OR · On-site +1

We are seeking a motivated Project Manager to support customer-facing software and AI-enabled delivery projects. In this role, you will assist in day-to-day project coordination, documentation, and ...

Mercor

AI Project Coordinator - GenAI

San Francisco, CA · Remote

$45 - $55/hr

Act as a day-to-day point of contact for AI data projects , ensuring smooth workflows and operations. * Collaborate with program leads and domain experts to transform leadership inputs into clear ...

Lockheed Martin Corporation

The Senior AI Project Manager is a high-autonomy, technically grounded individual contributor-leading role responsible for driving the end-to-end delivery of complex, multi-disciplinary artificial ...

NICE

AI Project Manager, CX

We are seeking a motivated Project Manager to support customer-facing software and AI-enabled delivery projects. In this role, you will assist in day-to-day project coordination, documentation, and ...

SmartIPlace

AI Project Manager[Hybrid]

Atlanta, GA · On-site

Project Manager (AI Solutions) Project Manager (AI Solutions) Job Type: 12-Month Contract (Possible Extension) Preferred Locations: Atlanta, GA or Minneapolis, MN (3 days onsite) Overview Gravity is ...

Kitware

Cleared AI Project Manager

Clifton Park, NY · On-site

$135K - $175K/yr

About the Projects: At Kitware, you will collaborate directly with customers and work with researchers to apply state-of-the-art AI approaches to dynamic, real-world problems. In this role, you will ...

ECS

AI Project Manager with Security Clearance

Hampton, VA · On-site

$130K - $150K/yr

ECS is seeking an AI Project Manager to work in our Arlington, VA office. ECS is seeking an experienced AI Project Manager to support a rapidly growing platform focused on providing data solutions ...

Kitware

Cleared AI Project Manager

New York, NY · On-site

$135K - $175K/yr

About the Projects: At Kitware, you will collaborate directly with customers and work with researchers to apply state-of-the-art AI approaches to dynamic, real-world problems. In this role, you will ...

Kitware

Cleared AI Project Manager

Clifton Park, NY

$135K - $175K/yr

About the Projects: At Kitware, you will collaborate directly with customers and work with researchers to apply state-of-the-art AI approaches to dynamic, real-world problems. In this role, you will ...

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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 Aug 18, 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 is an AI project?

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 skills and qualifications are needed to thrive as an AI project manager?

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 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 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.

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What are the most commonly searched types of Ai Project jobs?

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Ai Project jobs near you
Infographic showing various Ai Project job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $107,124 per year, or $51.5 per hour.

AI Project Manager

Lewis

Clayton, NC

Full-time

Posted 22 days ago

Lewis Tree Service rating

7.2

Company rating: 7.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

9th of 36 rated gardening and landscaping

Job description

Lewis & Clark Capital is a family office investing in and partnering with lower middle market businesses across a range of industries. We are seeking a highly motivated Value Creation professional to work directly with portfolio company leadership teams to drive operational improvements, process automation, and the practical adoption of software, data, and AI-enabled workflows.

This role sits at the intersection of strategy, operations, and technology, with a mandate to identify and execute initiatives that create measurable value across our portfolio.

Key Responsibilities

  • Partner with Lewis & Clark team members and portfolio company executives to identify and prioritize value creation opportunities across operations, data, and technology
  • Translate business problems into practical, implementable solutions using modern tools and technologies
  • Lead and support initiatives spanning workflow optimization, process automation, and data infrastructure, reporting, and analytics
  • Evaluate emerging software and AI-enabled tools and platforms, distinguishing high-impact applications from low-value noise
  • Develop and implement practical solutions, building lightweight and scalable tools that drive adoption within portfolio companies
  • Serve as a thought partner to management teams on operational strategy and technology adoption
  • Manage multiple projects across companies, balancing strategy development with hands-on execution
  • Track and communicate the impact of initiatives to internal stakeholders
  • Document and share learnings across portfolio companies to build repeatable playbooks

Qualifications

  • 3–7 years of experience in management consulting, technology implementation, or private equity value creation and portfolio company operations
  • Hands-on experience with modern data tools, automation platforms, and AI/LLM workflows with a track record of building and deploying solutions, not just evaluating them
  • Experience working in code (Python, SQL, or similar) at a scripting level and ability to build and configure solutions independently, including API integrations, automation workflows, and no-code / low-code platforms. This is not a software engineering role and deep coding expertise is not required.
  • Experience in private equity-backed or multi-company environments strongly preferred

Core Competencies

  • Strong business acumen with the ability to quickly understand complex business models, products, and operational challenges
  • Strong listening skills and the ability to diagnose problems and synthesize inputs quickly
  • Execution-oriented mindset with comfort moving from idea to implementation 
  • Systems thinking and the ability to understand how processes, data flows, and tools connect across a business
  • Deep curiosity about technology and AI, with practical judgment to distinguish high-impact opportunities from hype
  • Technical self-sufficiency, with the ability to scope, build, and troubleshoot solutions independently across a range of tools and platforms
  • Proven project management skills with the ability to manage multiple initiatives across different companies simultaneously
  • Executive presence and confidence working with senior leadership teams 
  • Adaptability and comfort working in ambiguous, fast-moving environments 

What Success Looks Like

  • Identifying and executing on high-impact, practical opportunities across portfolio companies 
  • Driving measurable improvements in efficiency, cost, and growth
  • Building and deploying solutions that are adopted and sustained over time
  • Helping portfolio companies adopt modern tools without over-engineering solutions
  • Developing a repeatable playbook for how L&CC approaches AI and technology implementation across the portfolio
  • Becoming a trusted partner to management teams and internal stakeholders 

Why This Role

This is a unique opportunity early in your career, working across multiple businesses, building real solutions, and shaping how AI and automation are applied in practical, value-accretive ways.

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