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Ai Project Jobs (NOW HIRING)

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AI Project Manager

Plano, TX · On-site

Project Manager - AI Academy (AI Adoption & Awareness) ENGINEERING DIVISION · Plano, Texas, United States Description The Project Manager will support our Enterprise AI Academy by leading AI ...

Diverse Lynx

Senior AI Project Manager

Chicago, IL · On-site

They are seeking a Senior AI Project Manager to lead end-to-end AI workstream delivery, manage project plans, and ensure compliance with responsible AI standards. Responsibilities : • Lead end-to ...

New

NICE

OR

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 ...

Diverse Lynx

Senior AI Project Manager

Minneapolis, MN · On-site

Diverse Lynx is a company seeking a Senior AI Project Manager to lead AI workstream delivery. The role involves managing project plans, timelines, and resources while ensuring adherence to governance ...

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 ...

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All JobsAi Project Jobs

Ai Project information

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$47K

$107.1K

$190K

How much do ai project jobs pay per year?

As of Jun 17, 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 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 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 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.

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.
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 June 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $107,124 per year, or $51.5 per hour.
AI Project / Delivery Manager

AI Project / Delivery Manager

NorthPoint Search Group

Dallas, TX • On-site

Full-time

Posted 4 days ago

Job description

AI Project / Delivery Manager - Dallas, TX (Hybrid)
To Apply Now - email your resume to [email protected]
About the Role
We are seeking an experienced AI Project / Delivery Manager to lead the planning, execution, and successful delivery of artificial intelligence and machine learning initiatives across the enterprise.
This role bridges the gap between technical implementation and business impact-ensuring AI projects are delivered on time, within scope, and aligned with strategic objectives. The ideal candidate combines strong project management skills, a working knowledge of AI/ML concepts, and the ability to communicate effectively across technical and non-technical teams.
Key Responsibilities
  • Project Ownership: Oversee the full lifecycle of AI projects-from initiation and business case development through deployment and post-implementation review.
  • Cross-Functional Leadership: Partner with Data Science, Engineering, Product, and Business Units to define scope, success criteria, and resource requirements.
  • Delivery Management: Lead agile delivery processes, manage sprint planning, backlogs, and daily standups for AI teams.
  • Stakeholder Communication: Translate complex technical topics (LLMs, MLOps, NLP, computer vision) into clear business value and deliver progress updates to executives.
  • Risk & Quality Management: Identify and mitigate delivery risks related to data, security, or performance. Ensure adherence to DevSecOps, governance, and compliance standards.
  • Vendor & Platform Coordination: Manage third-party AI vendors, SaaS integrations (e.g., AWS SageMaker, Azure AI, OpenAI, or Vertex AI), and platform implementations.
  • Metrics & Reporting: Establish KPIs to track model adoption, ROI, and delivery efficiency.
  • Change Enablement: Support user adoption and training programs for AI-powered tools across departments.

Required Qualifications
  • 5+ years of experience managing software, data, or AI-related projects.
  • Proven experience leading Agile or Scrum delivery teams in a technical environment.
  • Strong understanding of AI/ML fundamentals and lifecycle management (data prep, model training, deployment).
  • Familiarity with cloud AI ecosystems (AWS SageMaker, Azure AI, or Google Vertex AI).
  • Experience working with DevOps or MLOps frameworks.
  • Demonstrated ability to manage multiple concurrent initiatives in complex enterprise environments.
  • Excellent communication, stakeholder management, and executive presentation skills.
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About NorthPoint Search Group

Sourced by ZipRecruiter

NorthPoint Search Group is a full-service recruiting firm specializing in the placement of Top Tier professionals on a temporary, temp-to-hire and a direct-hire basis. We use a consultative approach to provide our clients with customized staffing solutions.

Industry

Recruiting and staffing services

Company size

1 - 10 Employees

Headquarters location

Atlanta, GA, US

Year founded

2003

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