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Generative Ai Project Manager Jobs in Baltimore, MD

Leidos

Senior AWS Generative AI Solution Engineer

Lanham, MD · On-site

$107K - $195K/yr

  • Medical

  • Retirement

  • PTO

Support session management, conversation context persistence, and cross-channel consistency for ... At least 3 years of Generative AI OR LLM application development experience. * Strong Python ...

Leidos

Senior AWS Generative AI Solution Engineer

Bowie, MD · On-site

$107K - $195K/yr

  • Medical

  • Retirement

  • PTO

Support session management, conversation context persistence, and cross-channel consistency for ... At least 3 years of Generative AI OR LLM application development experience. * Strong Python ...

Mindgrub

Product Manager (contract)

Baltimore, MD · On-site +1

Partner with Mindgrub Account Managers and Project Managers to ensure successful client engagements and software delivery. * Leverage generative AI tools to improve research, documentation, backlog ...

Mindgrub

Product Manager (contract)

Baltimore, MD · On-site +1

Partner with Mindgrub Account Managers and Project Managers to ensure successful client engagements and software delivery. * Leverage generative AI tools to improve research, documentation, backlog ...

Morgan Stanley

VP, AI Compliance Officer

Baltimore, MD · On-site

$108K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What you'll do in the role: > Advise Wealth Management Generative AI and Platforms teams on AI governance, strategy, data usage, and oversight requirements. > Review Artificial Intelligence and ...

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Showing results 21-40

All JobsGenerative Ai Project JobsGenerative Ai Project Manager JobsGenerative Ai Project Manager Jobs in Baltimore, MD

Generative Ai Project Manager information

See Baltimore, MD salary details

$38.3K

$102K

$161K

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

As of Aug 13, 2026, the average yearly pay for generative ai project manager in Baltimore, MD is $102,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $122,200.00 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?

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 popular job titles related to Generative Ai Project Manager jobs in Baltimore, MD? For Generative Ai Project Manager jobs in Baltimore, MD, the most frequently searched job titles are:
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Generative Ai Project Manager jobs near you
Infographic showing various Generative Ai Project Manager job openings in Baltimore, MD as of June 2026, with employment types broken down into 74% Full Time, 20% Part Time, and 6% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $102,029 per year, or $49.1 per hour.

Systems Development Manager-AI Productivity & Automation

Johns Hopkins Health System

Baltimore, MD • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 205 frontline employees who took The Breakroom Quiz

234th of 887 rated healthcare providers

Job description

Req#:670462 Systems Development Manager-AI Prodictivity & Automation
Monday-Friday (8:30-5)
Hybrid/Remote In the office 1-2 days a month on a regular basis. Additional days weekends, Go Lives and Special Projects.
Johns Hopkins
750 E. Pratt St., 5th Floor
Baltimore, MD 21202
These roles focus on enabling safe, effective, and scalable use of artificial intelligence (AI)-assisted development and automation to improve clinical, operational, and administrative workflows.
All staff are expected to support enterprise initiatives involving tools such as:
  • Microsoft Copilot and Microsoft 365 ecosystem
  • Generative AI platforms (e.g., ChatGPT, Claude)
  • Power Platform (Power Apps, Power Automate, Power BI)
  • Other approved AI agents and AI-assisted development/workflow automation

All activities must align with organizational policies related to data privacy, security, compliance, and responsible AI use.
GENERAL EXPECTATIONS (ALL ROLES)
Responsibilities
  • Demonstrate commitment to responsible AI use, including adherence to data privacy, security, and regulatory requirements
  • Collaborate with clinical, operational, and administrative stakeholders to identify opportunities for workflow optimization and automation
  • Apply critical thinking to evaluate AI-generated outputs for accuracy, appropriateness, and risk
  • Participate in continuous learning related to AI tools, automation platforms, and emerging technologies
  • Contribute to improvements in efficiency, quality, user experience, or operational effectiveness through AI-enabled solutions

Qualifications
  • Foundational understanding of AI-enabled productivity tools and their business applications
  • Ability to adapt to evolving technologies and workflows
  • Strong collaboration, communication, and problem-solving skills
  • Additional Responsibilities

AI Strategy & Governance
  • Ensure solutions are operating withing AI governance frameworks for safe and compliant AI usage, including privacy and data protection considerations
  • Partner with security, compliance, and data stakeholders to ensure adherence to organizational standards

Portfolio & Use Case Management
  • Identify, prioritize, and oversee a portfolio of AI and automation use cases
  • Establish intake, evaluation, and prioritization processes for AI initiatives

Adoption & Change Management
  • Lead enterprise adoption of AI tools and AI-assisted development/agent platforms
  • Develop and implement change management strategies to support integration into daily workflows
  • Monitor adoption metrics, user satisfaction, and productivity outcomes

Vendor & Technology Management
  • Evaluate emerging AI technologies and vendors for enterprise use
  • Manage vendor relationships and tool selection for AI capabilities

Additional Qualifications
  • Experience leading enterprise technology adoption initiatives
  • Strong understanding of AI technologies, including generative AI capabilities and limitations
  • Knowledge of AI governance, risk management, and ethical considerations
  • Experience with AI agent platforms and automation tools
  • Demonstrated ability to translate strategic objectives into operational execution
    Required Job Qualifications:
    Education: Baccalaureate degree, in computer science, business or clinical related field or equivalent work experience. Professional certification(s) and/or related experience beyond minimum training experience qualifications may substitute for formal education requirement on a two years' experience-for-one year education basis.
    Certifications: May be required to complete and pass certification in assigned Epic application module(s) within 120 days of employment in this role.
    Experience:
    • Seven years' experience with appropriate computer systems and applications, as well as operational experience in a clinical or healthcare business field.
    • Three years of supervisory/managerial experience

    Preferred Job Qualifications:
    • Master's Degree preferred
    • PMP Certification preferred
    • Previous Epic experience preferred
    • Previous IT experience preferred
    • Working knowledge of MS Project is strongly preferred

    Knowledge, Skills, & Abilities (KSA's):
    • Ability to establish and meet work schedules and project deadlines.
    • Ability to work with diverse personalities and conflicting priorities to implement projects and tasks.
    • Demonstrated expertise in project management and successful project implementations.
    • Strong understanding of the application from Epic training
    • Ability to delegate tasks to direct and indirect reports
    • Ability to help resolve complex problems by providing their own expertise as well as leverage corporate or external expertise.
    • Advanced interpersonal skills to effectively interface with department heads, University, Hospital and Health System personnel, vendors, consultants, etc.
    • Ability to effectively communicate and interact with staff.

    Leadership (includes training and mentoring)
    Participates in formal project teams that have JHM wide impact. These include but are not limited to the applications which this manager supports. Provide active, vocal feedback to those groups so that appropriate JHM decisions can be made without revisiting the issues. Network with other system users outside of JHM in appropriate forums (Vendor user groups, WEDI, etc.) to gain knowledge of how specific issues, concerns and problems are handled in other organizations.

Salary Range: Minimum 54.35/hour - Maximum 95.15/hour. Compensation will be commensurate with equity and experience for roles of similar scope and responsibility. In cases where the range is displayed as a $0 amount, salary discussions will occur during candidate screening calls, before any subsequent compensation discussion is held between the candidate and any hiring authority.
The Hospital reserves the right to modify employee schedules as needed.
We are committed to creating a welcoming and inclusive environment, where we embrace and celebrate our differences, where all employees feel valued, contribute to our mission of serving the community, and engage in equitable healthcare delivery and workforce practices.
Johns Hopkins Health System and its affiliates are an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, mental or physical disability, genetic information, veteran status, or any other status protected by federal, state, or local law.
Johns Hopkins Health System and its affiliates are drug-free workplace employers.

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