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Generative Ai Project Manager Jobs (NOW HIRING)

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 ... Expertise in managing AI/ML and Generative AI initiatives, especially with AWS or platforms and LLM ...

Sensiple Inc.

AI Project Manager

Manhattan, NY · On-site

AI Project Manager (Insurance domain exp) Location: NYC NY (5 days a week onsite role) An AI Project Manager oversees AI/ML projects from ideation to deployment, bridging business goals, technical ...

New

ultimus

AI Project Manager

Cincinnati, OH · On-site

Position Summary The AI Project Manager will own the end-to-end delivery lifecycle of enterprise AI initiatives--from technical scoping through deployment. The role will partner with engineering ...

Mindlance

AI Project Manager

Iselin, NJ · On-site

AI Project Manager Duration: 12 Months (Possible conversion OR Extension) Location: Iselin, NJ (Hybrid) Position Overview AI Project Manager to support strategic AI-enabled Communications ...

New

Citi

Generative AI Senior Delivery Lead

Tampa, FL · On-site

Generative AI Senior Delivery Lead (Hybrid) Job Overview We are seeking a results-driven Generative ... Manage the project lifecycle from ideation and scoping to deployment and post-launch support.

Citibank (Switzerland) AG

$141 - $212/hr

Generative AI Senior Delivery Lead (Hybrid)**# Job OverviewWe are seeking a results-driven ... Manage the project lifecycle from ideation and scoping to deployment and post-launch support.

New

Forhyre

Generative AI Strategist

Sunnyvale, CA

$142K - $184K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Medpace, Inc.

AI Project Manager

Cincinnati, OH · On-site +1

Working across Medpace on behalf of the Chief AI Office, the individual will manage and provide accountability for day-to-day operations of the overall AI project list and ensure good communications ...

Forhyre

Generative AI Strategist

New York, NY

$132K - $171K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Forhyre

Generative AI Strategist

Los Angeles, CA

$130K - $169K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Forhyre

Generative AI Strategist

Charleston, WV

$112K - $145K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Forhyre

Generative AI Strategist

Dallas, TX

$120K - $155K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Forhyre

Generative AI Strategist

Plano, TX

$116K - $150K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

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Generative Ai Project Manager information

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$38.5K

$102.7K

$162K

How much do generative ai project manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for generative ai project manager in the United States is $102,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $123,000.00 per year, depending on experience, location, and employer.

What does a generative AI project manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What are the key skills and qualifications needed to thrive as a generative AI project manager?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.

What are some unique challenges faced by generative AI project managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

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

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

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Generative Ai Project Manager jobs near you
Infographic showing various Generative Ai Project Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $102,682 per year, or $49.4 per hour.

Senior AI Project Manager (Remote Opportunity)

VetsEZ

Tampa, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

VetsEZ is seeking a Senior AI Project Manager to lead the successful delivery of enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA). The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Summarization initiative, delivering a production-ready AI-assisted search and summarization capability that enhances clinician access to Community Health Summary and Document (CHSD) data.
Working closely with Government stakeholders, clinical subject matter experts, solution architects, software engineers, cybersecurity teams, and DevSecOps personnel, this individual will lead all aspects of project planning, execution, stakeholder engagement, risk management, and Agile delivery while ensuring alignment with Federal security, privacy, and AI governance requirements.
Responsibilities:
  • Lead planning, execution, and delivery of enterprise AI software development projects supporting VA healthcare initiatives.
  • Develop and manage integrated project schedules, milestones, deliverables, resource plans, and roadmaps, including clinical validation, governance, security, and approval dependencies.
  • Manage project scope, risks, issues, assumptions, dependencies, and change requests, including decisions requiring Government approval.
  • Ensure project execution aligns with contractual requirements, business priorities, and delivery objectives.
  • Provide leadership that promotes collaboration, accountability, and continuous improvement across multidisciplinary teams.
  • Lead delivery of Generative AI solutions utilizing Retrieval-Augmented Generation (RAG) architectures and Large Language Models (LLMs).
  • Coordinate activities between Government stakeholders, clinicians, architects, engineers, cybersecurity teams, privacy and AI governance stakeholders, and product owners.
  • Facilitate discovery sessions, requirements validation, solution demonstrations, and clinical feedback sessions.
  • Coordinate AI governance, Responsible AI, Human-in-the-Loop (HITL), security, privacy, and clinical validation activities.
  • Ensure AI capabilities align with clinical workflows, business objectives, and approved MVP scope, with measurable acceptance criteria for quality, source traceability, clinical relevance, latency, and clinician feedback.
  • Provide delivery oversight across Agile teams, ensuring sprint plans, dependencies, milestones, and release objectives align with the project roadmap.
  • Partner with Product Owners and Scrum Masters to support Agile planning, refinement, reviews, and retrospectives.
  • Monitor sprint progress, delivery metrics, and release readiness.
  • Coordinate resolution of cross-team impediments requiring Government, security, governance, clinical, or architectural decisions.
  • Coordinate test-environment readiness, clinical evaluation, and future transition planning with Government stakeholders.
  • Monitor project risks, technical dependencies, and schedule impacts while developing mitigation strategies.
  • Coordinate activities supporting Federal cybersecurity, privacy, AI governance, clinical validation, and Authority to Operate (ATO) planning.
  • Ensure compliance with applicable VA Software Development Lifecycle (SDLC), security, and operational requirements.
  • Support project reporting, audit readiness, governance readiness, and executive decision-making through accurate documentation and status reporting.
  • Prepare executive briefings, project status reports, dashboards, and milestone updates.
  • Present project progress, risks, dependencies, and recommendations to executive leadership and Government customers.
  • Communicate complex technical concepts effectively to both technical and non-technical audiences.
  • Foster strong customer relationships through proactive communication and collaboration.

Requirements:
  • Bachelor's degree in Computer Science, Information Technology, Business, Healthcare Informatics, or a related field, or equivalent experience.
  • 10+ years leading enterprise software development projects.
  • 5+ years managing Agile software development teams delivering cloud-based applications.
  • Demonstrated experience leading Artificial Intelligence, Machine Learning, or Generative AI capabilities through development, evaluation, and formal approval.
  • Experience delivering AWS cloud applications using Amazon Bedrock or similar AI platforms.
  • Experience leading cross-functional teams in regulated healthcare or Federal environments.
  • Agile Software Development (Scrum/Kanban)
  • Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) delivery lifecycles
  • Amazon Bedrock and AWS AI services
  • Prompt engineering, source grounding, hallucination testing, human validation, and AI evaluation methodologies
  • Cloud architecture and DevSecOps practices
  • REST APIs and enterprise system integration
  • Healthcare interoperability standards (FHIR, HL7, CCD)
  • Risk management and software delivery lifecycle

Additional Qualifications:
  • Strong leadership, organizational, and project management skills.
  • Excellent communication and presentation skills with experience briefing executive leadership and Government stakeholders.
  • Experience coordinating multidisciplinary engineering, cybersecurity, infrastructure, and clinical teams.
  • Strong analytical, problem-solving, and decision-making abilities.
  • Ability to manage multiple priorities in a fast-paced Agile environment.
  • Ability to obtain and maintain a Government Public Trust clearance.
  • Project Management Professional (PMP), PMI-ACP, Certified Scrum Master (CSM), or SAFe certification.
  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.
  • Experience delivering AI-enabled clinical workflow, search, summarization, or clinician-support capabilities requiring human validation.
  • Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP.
  • Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
  • AWS Cloud, AI, or Machine Learning certifications are highly desirable.

Benefits:
  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off plus Federal Holidays
  • Corporate Laptop
  • Professional Development and Training Opportunities
  • Remote Opportunity

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.

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