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Generative Ai Project Manager Jobs in Silver Spring, MD

Familiarity with artificial intelligence (AI), generative AI, and large language model (LLM) concepts, with experience supporting, managing, or implementing AI-enabled products, projects, or business ...

Airbus North America Information Management (IM) is seeking a Lead AI Project & Portfolio Manager ... on Generative AI and Agentic AI applications. * Use Case Evaluation & Selection: Support the ...

Airbus North America Information Management (IM) is seeking a Lead AI Project & Portfolio Manager ... on Generative AI and Agentic AI applications. * Use Case Evaluation & Selection: Support the ...

Familiarity with artificial intelligence (AI), generative AI, and large language model (LLM) concepts, with experience supporting, managing, or implementing AI-enabled products, projects, or business ...

Familiarity with artificial intelligence (AI), generative AI, and large language model (LLM) concepts, with experience supporting, managing, or implementing AI-enabled products, projects, or business ...

Generative AI Strategist

Mclean, VA

$122K - $158K/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

See Silver Spring, MD salary details

$39.8K

$106.2K

$167.5K

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

As of Jul 23, 2026, the average yearly pay for generative ai project manager in Silver Spring, MD is $106,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,200.00 and $127,200.00 per year, depending on experience, location, and employer.

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.

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, and why are they important?

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 job categories do people searching Generative Ai Project Manager jobs in Silver Spring, MD look for? The top searched job categories for Generative Ai Project Manager jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Generative Ai Project Manager jobs? Cities near Silver Spring, MD with the most Generative Ai Project Manager job openings:
AI Project Manager

AI Project Manager

FM Talent

Bethesda, MD • On-site

Other

Posted 4 days ago


Job description

About Us

FM Talent Source is an enterprise that provides business and workforce solutions to help organizations nationwide overcome business challenges. Our clients include federal, state and local government agencies, Fortune 500 Companies, and non-profit organizations. Founded in 2004, we have a strong history of providing recruitment strategies and utilizing effective project and quality management methodologies to ensure our clients’ success.


Overview

We are searching for an AI Project Manager to join our growing team. This position is based in Bethesda, MD.

This position will support the client’s Artificial Intelligence Team in AI strategy development and in managing a broad AI project portfolio. As such, a candidate with interest, curiosity, and ideally experience using AI tools and technologies and managing projects that leverage AI tools and technologies in solutioning is strongly preferred.


Responsibilities

  • Assist with the definition of the AI enterprise operating and program model.
  • Develop an organizational and operational strategy that defines how the AI organization integrates with existing IT and business governance, management, and execution processes.
  • Develop a stakeholder engagement and communications strategy for AI across the enterprise organization and with external stakeholders.
  • Support regular AI Team communication with both internal and external stakeholders.
  • Document operating processes, workflows, and decision criteria to support continuity and long-term ownership.
  • Establish and maintain organized, accessible documentation repositories that support the ongoing operation of the AI Team and its stakeholders.
  • Work with customers and stakeholders to define clear project objectives and requirements, agree on priorities, communicate progress updates, schedule demonstrations, resolve issues and conflicts, and provide responsive change management.
  • Develop and maintain both programmatic and technical documentation
  • Work with cross-functional teams with diverse technical skill sets to support successful performance across operations and projects.
  • Participate in meetings; document action items, follow up on direction, action items, questions, documentation, etc.
  • Update project portfolio with project statuses on a weekly basis.
  • Capture, monitor, and update project risks and issues in the project risk register on a weekly basis.
  • Work with Technical Leads to prioritize projects in sprint planning.
  • Manage scope, schedule, quality control, risks, and issues for concurrent high-visibility projects using agile methods in a fast-paced environment.
  • Establish and maintain cooperative working relationships with a diverse group of staff members, stakeholders, and customers.
  • Analyze project management needs and tailor industry best practices to suit the environment.
  • Use critical thinking and communication skills to absorb and relay strategic needs articulated by clients and ensure these concepts are written into project charters.
  • Assess business needs, write project charters, document technical requirements, and draft project schedules to chart milestones and key activities. Update project data in the portfolio management tool. Brief clients on project status.
  • Responsible for planning, leading, organizing, executing, and motivating agile project teams to achieve a high level of performance and quality in delivering agile projects that provide exceptional business value.
  • The Project Manager is responsible for managing several concurrent high-visibility projects using agile methods in a fast-paced environment.
  • May play other roles as needed to support successful project delivery.


Qualifications

  • Strong organizational and communication skills.
  • Bachelor’s degree in Business, Information Systems, Computer Science, or related discipline
  • 11 years of project management experience, working with cross-functional teams.
  • Experience writing project charters and project schedules
  • Ability to analyze problems with a flexible and creative approach, manage complex tasks, and adapt to rapidly changing requirements.
  • Excellent verbal and written communication skills, attention to detail, and strong customer-facing skills.
  • Self-starter and quick learner with lots of initiative and ability to work independently.
  • Must be able to obtain a Public Trust clearance


Preferred Certifications

  • 1+ years of hands-on experience performing backlog management, work specification, Scrum facilitation, and lessons learned.
  • Familiarity with artificial intelligence (AI), generative AI, and large language model (LLM) concepts, with experience supporting, managing, or implementing AI-enabled products, projects, or business solutions preferred.
  • Solid understanding of and demonstrated hands-on experience in using Agile project management tools and methods.
  • Solid understanding of and demonstrated hands-on experience using Microsoft Project, Planner Premium (including portfolio management). Visio, Office Suite, and SharePoint.


Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law.


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