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Generative Ai Project Manager Jobs in Baltimore, MD

Morgan Stanley

VP, AI Compliance Officer

Baltimore, MD

$108K - $185K/yr

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 ...

Morgan Stanley

VP, AI Compliance Officer

Baltimore, MD · On-site

$108K - $185K/yr

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 ...

Blend360

AI Eng Lead/Manager

Columbia, MD · On-site

$125K - $180K/yr

... work and projects for our people and clients. For more information, visit www.blend360.com We're ... in Generative AI. As a Data Scientist - Applied AI & Prompt Engineering, you will design, build ...

Blend360

AI Eng Lead/Manager

Columbia, MD · On-site

$125K - $180K/yr

... work and projects for our people and clients. For more information, visit www.blend360.com We're ... in Generative AI. As a Data Scientist - Applied AI & Prompt Engineering, you will design, build ...

Dcode Talent LLC

GenAI Engineer

Woodlawn, MD · On-site

Incorporating generative AI models into existing software applications and products. · Research ... Data management, preprocessing, and feature engineering skills. · Expertise with prompt ...

Blend360

AI Eng Lead/Manager

Columbia, MD · On-site

... work and projects for our people and clients. For more information, visit www.blend360.com We're ... in Generative AI. As a Data Scientist - Applied AI & Prompt Engineering, you will design, build ...

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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 Sep 2, 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 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.

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:

What job categories do people searching Generative Ai Project Manager jobs in Baltimore, MD look for?

The top searched job categories for Generative Ai Project Manager jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Generative Ai Project Manager jobs?

Cities near Baltimore, MD with the most Generative Ai Project Manager job openings:

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.

Artificial Intelligence (AI) Project Leader

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 74 rated research

Job description

Description
Are you passionate about leading teams building solutions for our greatest national security challenges?
Are you searching for engaging work with an employer that prioritizes impact, innovation, and personal development?
If so, we're looking for someone like you to join our leadership team in the Information Sciences Branch of the Asymmetric Operations Sector!
We are seeking a project leader to help us build innovative solutions for challenges in national defense and healthcare. .We are looking for a project and technical leader to guide teams of engineers and software developers prototyping and operationalizing state of the art AI solutions.
As an AI Project Leader:
  • You will build and lead strong teams with APL scientists and engineers to develop and deliver effective AI and data science solutions to civilian and military sponsors
  • You will lead the development of new research proposals to pursue high-risk, high-reward ideas and transition successes to real world impact
  • You will combine your technical expertise and leadership experience to mentor and grow team members into future leaders
  • You will build partnerships with scientists and engineers across APL, the other divisions of JHU, and the wider research community

Qualifications
You meet our minimum qualifications for the job if you...
  • Possess a Bachelor's degree in Computer Science, Mathematics, Engineering, or other relevant field
  • Have at least 3 years of project leadership experience in DoD-, Cyber, or National Health-based AI, Machine Learning or Data Science settings
  • Have project management experience from concept development through execution and close out of large-scale R & D initiatives
  • Excellent verbal and written communication skills; strong analytical and organizational skills
  • Are able to obtain a Top Secret security clearance by your start date. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
  • Are willing and able to travel to customer sites as needed.

You'll go above and beyond our minimum requirements if you...
  • Have a Master's degree or higher in Computer Science, Mathematics, Engineering, or other relevant technical field, with emphasis on data science or applied math
  • Have at least 8 years of software development and engineering experience
  • Have prior experience with large government research and development programs across multiple military and civilian government agencies

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$100,000 Annually
Maximum Rate
$245,000 Annually

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