ZipRecruiter

Log In

1

Ai Project Manager Jobs in Raleigh, NC (NOW HIRING)

US Radiology Specialists

AI Solutions Architect

Raleigh, NC · On-site

$61.25 - $80.75/hr

Contribute to and help manage the AI project pipeline and prioritization process * Workflow Integration & Optimization * Design solutions that integrate seamlessly into existing operational and ...

Akraya

Technical Project Manager-1:

Durham, NC · On-site

$40 - $45/hr

Project Planning (advanced), AI Implementation (Knowledge), Supply Chain Planning (advanced), , Stakeholder Management (advanced), Cross-functional Collaboration (advanced) Contract Type: W2 Only ...

Infosys

Technical Project Manager

Raleigh, NC · On-site

The Technical Project Manager will define project objectives, build client relationships, drive ... Preferred : • Java • AWS • Agentic AI Company : Infosys is a technology company that offers ...

TERRACON

Project Manager

Raleigh, NC · On-site

Manage all aspects of a facilities, materials, environmental, or geotechnical engineering project ... From AI-supported solutions and predictive technologies to geophysics and traditional exploration ...

TERRACON

Project Manager

Raleigh, NC

From AI-supported solutions and predictive technologies to geophysics and traditional exploration ... Manage all aspects of a small to medium sized project. * Works with client or NAM to define project ...

JLL

Senior Project Manager

Raleigh, NC · On-site

As a Senior Project Manager , you will play a crucial role in this pursuit by leading projects and ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

MaintainX

Enterprise Project Manager

Raleigh, NC · On-site

$150/day

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13 ... You will plan and designate project resources, prepare budgets, track progress and inform your ...

MaintainX

Enterprise Project Manager

Raleigh, NC

$150/day

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13 ... You will plan and designate project resources, prepare budgets, track progress and inform your ...

Abzena Inc.

Global Project Manager

Raleigh, NC · On-site

The Global Project Manager is responsible for managing integrated development and manufacturing ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

itD Tech

Project Manager (6187)

Morrisville, NC

itD is seeking a Project Manager to support the Americas cohort of a global Early-in-Career (EIC ... and AI-era readiness. Internal Responsibilities: * Attend regular internal practice community ...

Cybercoders

Project Manager - Multi-family

Raleigh, NC

$125K - $145K/yr

Project Manager - Multi-family At our company, we take pride in building high quality multifamily ... Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual ...

next page

Showing results 1-20

All JobsAi Project Manager JobsAi Project Manager Jobs in Raleigh, NC

Ai Project Manager information

See Raleigh, NC salary details

$37.4K

$99.8K

$157.5K

How much do ai project manager jobs pay per year?

As of Jun 24, 2026, the average yearly pay for ai project manager in Raleigh, NC is $99,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,300.00 and $119,600.00 per year, depending on experience, location, and employer.

How does an AI Project Manager typically collaborate with data scientists and software engineers during a project?

An AI Project Manager serves as a crucial bridge between technical teams, like data scientists and software engineers, and stakeholders. They facilitate clear communication by translating project goals into actionable tasks and ensuring timelines are met. Regular check-ins, sprint planning, and progress reviews are common, allowing the manager to address roadblocks and realign priorities as needed. This collaborative approach helps ensure that project deliverables align with both technical specifications and business objectives.

What is the difference between Ai Project Manager vs Data Scientist?

AspectAi Project ManagerData Scientist
Required CredentialsBachelor's in CS, Business, or related; certifications in AI/ML project managementBachelor's or higher in CS, Statistics, or related; advanced degrees often preferred
Work EnvironmentOversees AI projects, collaborates with technical teams and stakeholdersAnalyzes data, develops models, and interprets results
Industry UsageUsed across tech, finance, healthcare for managing AI initiativesCommon in research, tech, and analytics sectors

The Ai Project Manager focuses on leading AI projects, coordinating teams, and ensuring project goals are met. In contrast, Data Scientists primarily analyze data, develop models, and generate insights. Both roles often collaborate but serve different functions within AI and data-driven environments.

How do I become an AI project manager?

To become an AI project manager, candidates typically need a background in project management, often with a certification like PMP or Agile. Experience in AI, machine learning, or data science is valuable, along with strong leadership, communication skills, and familiarity with AI tools and frameworks. Gaining relevant technical knowledge and managing AI projects can help prepare for this role.

Will AI take project manager jobs?

AI project managers use automation tools and data analysis to support project planning and decision-making, but they do not replace human project managers. The role evolves to include managing AI systems, coordinating teams, and handling complex problem-solving that requires human judgment. AI enhances productivity but still relies on skilled professionals for leadership and strategic oversight.

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 AI concepts, project management methodologies, and experience with cross-functional teams, often backed by a degree in computer science or a related field. Familiarity with tools like JIRA, Asana, and AI development platforms, as well as certifications such as PMP or Agile Scrum Master, is typically required. Strong leadership, communication, and problem-solving skills help facilitate collaboration and manage stakeholder expectations. These competencies are crucial to successfully delivering complex AI projects on time and within scope, ensuring alignment between technical teams and business goals.

What can AI do for project managers?

AI project managers use artificial intelligence tools to automate routine tasks, analyze large data sets for insights, and improve decision-making processes. These capabilities help streamline project planning, risk management, and resource allocation, increasing efficiency and accuracy in project delivery. Familiarity with AI software and data analysis skills are valuable for project managers leveraging AI technologies.

What is an AI Project Manager?

An AI Project Manager is a professional responsible for overseeing projects that involve artificial intelligence technologies. They bridge the gap between technical AI teams and business stakeholders, ensuring that projects are delivered on time, within budget, and meet the desired outcomes. Their duties often include planning, coordinating resources, managing risks, and communicating progress. AI Project Managers must understand both project management methodologies and the fundamentals of AI to effectively guide their teams. They also play a crucial role in aligning AI initiatives with organizational goals.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI executive, senior data scientist, or machine learning director, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI strategy, managing teams, and working with cutting-edge technologies, and they usually offer compensation packages including salary, bonuses, and stock options. Such high salaries are common in competitive industries like tech, finance, or healthcare for top-tier professionals with specialized expertise.
What are popular job titles related to Ai Project Manager jobs in Raleigh, NC? For Ai Project Manager jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Project Manager jobs in Raleigh, NC look for? The top searched job categories for Ai Project Manager jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Project Manager jobs? Cities near Raleigh, NC with the most Ai Project Manager job openings:
Ai Project Manager jobs near you
Infographic showing various Ai Project Manager job openings in Raleigh, NC as of June 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $99,809 per year, or $48 per hour.
AI Solutions Architect

AI Solutions Architect

US Radiology Specialists

Raleigh, NC • On-site

$61.25 - $80.75/hr

Full-time

Posted 29 days ago

Job description

Lumexa Imaging is one of the country's largest providers of outpatient medical imaging. With over 5,000 team members and more than 185 outpatient imaging centers across 13 states, our team conducts more than 4 million outpatient studies annually. We are the partner of choice for health systems and radiologists, delivering best-in-class clinical excellence, operations, and state-of-the-art technology across our platform.
AI Solutions Architect
Role Overview
Lumexa Imaging is seeking an experienced AI Solutions Architect to lead the design and delivery of AI-driven solutions across business and operational functions. This role will report to the SVP of AI Integrations and work closely with the AI and IT teams, as well as the enterprise-wide AI Governance Council to intake requests, define solution approaches, and ensure seamless integration of AI into enterprise workflows.
This role requires a blend of enterprise solution architecture and hands-on AI implementation capability, with the ability to both design scalable solutions and independently build or prototype AI-driven workflows where needed.
The ideal candidate combines strong business acumen, deep understanding of enterprise system architecture, and the ability to translate ambiguous problem statements into scalable, practical AI solutions. While the primary focus is on business and operational use cases, familiarity with radiology and imaging workflows is highly preferred.
This role operates across the full lifecycle of AI initiatives, from intake and scoping through solution design, integration, and stakeholder alignment, supporting a structured pipeline of enterprise AI opportunities.
Key Responsibilities
  1. AI Solution Design & Architecture
  • Lead end-to-end solution design for AI use cases, from intake through implementation planning
  • Translate business problems into technical architectures, workflows, and system integration designs
  • Determine when to:
    • Leverage existing enterprise tools and platforms, vs.
    • Recommend new vendors, capabilities, or configuration changes
  • Define solution components including data flows, APIs, integrations, and user workflows
  1. Hands-on AI Development & Prototyping
  • Independently design, prototype, and implement AI-enabled solutions, particularly for LLM-driven and workflow-based use cases
  • Rapidly develop MVPs and proof-of-concepts to validate solution feasibility and business value
  • Configure and leverage enterprise AI tools (e.g., copilots, automation platforms, embedded AI features) to deliver solutions
  • Progress solutions from prototype to scalable implementation in collaboration with engineering where needed
  1. AI Project Intake & Scoping
  • Partner with stakeholders to clarify problem statements, desired outcomes, and success metrics
  • Conduct structured intake and scope feasibility, level of effort, and dependencies
  • Align proposed solutions with enterprise priorities, governance standards, and KPIs
  • Contribute to and help manage the AI project pipeline and prioritization process
  1. Workflow Integration & Optimization
  • Design solutions that integrate seamlessly into existing operational and clinical-adjacent workflows
  • Map current-state vs. future-state workflows and identify efficiency gains and automation opportunities
  • Ensure solutions are usable, scalable, and aligned with end-user needs
  • Partner with IT and operations teams to support implementation and adoption
  1. Stakeholder Management & Change Enablement
  • Serve as a key interface between business leaders, IT, clinical stakeholders, and vendors
  • Facilitate working sessions to gather requirements, validate designs, and drive alignment
  • Navigate a matrixed organization with competing priorities and stakeholders
  • Clearly communicate tradeoffs, risks, and recommendations
  1. Vendor & Technology Evaluation
  • Evaluate AI tools, platforms, and vendors for fit, scalability, security, and ROI
  • Develop recommendations including build vs. buy decisions
  • Partner with governance, legal, and security teams to support vendor selection and risk review
  1. Execution Support & Continuous Improvement
  • Collaborate with AI engineering and product teams to ensure effective execution of designed solutions
  • Monitor performance against defined KPIs and identify opportunities to improve outcomes
  • Contribute to evolving AI architecture standards, best practices, and playbooks

Required Qualifications
  • 5+ years of experience in solution architecture, enterprise systems, or technology consulting
  • Proven experience designing and implementing cross-system workflows and integrations
  • Strong understanding of:
    • Enterprise systems (e.g., ERP, CRM, RCM, scheduling, contact center)
    • APIs, data integration, and system interoperability
  • Demonstrated ability to translate business needs into technical solutions
  • Ability to leverage and configure underlying technical components (e.g., APIs, data flows, orchestration tools, and data sources) to independently design and implement AI-driven solutions, including LLM-based applications (e.g., prompt-driven workflows, copilots, document processing, or conversational interfaces)
  • Strong understanding of how to apply AI appropriately within enterprise workflows, including awareness of limitations, tradeoffs, and risks
  • Strong stakeholder management and communication skills across technical and business audiences
  • Ability to operate independently in ambiguous, fast-moving environments
  • Excellent project scoping, prioritization, and execution skills, with the ability to manage multiple concurrent initiatives and drive alignment across cross-functional stakeholders with varying levels of technical and operational fluency
  • Demonstrated ability and strong desire to continuously learn and adapt in a rapidly evolving AI landscape, including proactively staying current on emerging tools, capabilities, and best practices and translating that knowledge into practical enterprise applications

Preferred Qualifications
  • Experience scaling AI solutions from prototype to enterprise deployment
  • Familiarity with healthcare operations and radiology workflows (PACS, RIS, scheduling, center operations) a strong plus
  • Strong understanding of healthcare regulations (e.g., HIPAA, FDA) and compliance requirements related to AI in healthcare
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and tools relevant to AI and healthcare solutions
  • Experience in vendor evaluation, procurement, and solution selection
  • Exposure to AI governance, compliance, or data security considerations

Success Profile
  • Self-starter: Proactively identifies opportunities and drives work forward with minimal direction
  • Structured thinker: Brings clarity to ambiguous problems and defines actionable paths
  • Hands-on and pragmatic: Comfortable building and iterating on solutions directly to accelerate progress
  • Business-oriented: Focuses on practical, high-impact outcomes over theoretical solutions
  • Collaborative but decisive: Seeks input and effectively engages stakeholders while driving clarity
  • Orchestrator: Aligns diverse stakeholders and keeps parallel workstreams moving across a matrixed environment
  • Continuous learner: Maintains an open mindset and actively stays current on emerging AI capabilities, rapidly translating new developments into real-world use cases
  • Adaptable: Thrives in a fast-evolving AI and enterprise environment

Example Scope of Work
  • Automating back-office workflows (e.g., finance, RCM, HR, contact center)
  • Designing and deploying LLM-enabled workflow automation and decision support tools for operational efficiency
  • Integrating AI capabilities into existing enterprise systems
  • Supporting clinical-adjacent workflows (e.g., scheduling, reporting support, center operations)

Lumexa Imaging provides a competitive compensation program to attract, retain, and motivate a high-performance workforce.
Lumexa Imaging is an equal opportunity employer.

Apply