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Program Manager Artificial Intelligence Jobs in Maryland

Integral

Program Manager

Fort George G Meade, MD · On-site

The Program Manager supports the Defense Information Systems Agency (DISA), Business Systems ... Foster the leveraging of artificial intelligence (AI) integrations to enhance operational ...

Everwatch

$149.01 - $202/hr

... management and automated retraining systems * Experience with natural language processing (NLP ... Experience with supporting DoD or Intelligence Community programs * Knowledge of agentic AI ...

New

Tessco, LLC

Program Manager

Hunt Valley, MD · Hybrid

$65K - $75K/yr

Tessco is seeking a Program Manager for our Program Management Team in Hunt Valley, MD. As a ... Artificial Intelligence and Advanced Analytics Experience * EPL Experience Compensation: $65,000 ...

Booz Allen Hamilton

Pharmacy Program Manager

Bethesda, MD · On-site

$99K - $225K/yr

R0243472 Pharmacy Program Manager The Opportunity: We are looking for an experienced program ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

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Program Manager Artificial Intelligence information

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$37.4K

$104.3K

$152.4K

How much do program manager artificial intelligence jobs pay per year?

As of Aug 20, 2026, the average yearly pay for program manager artificial intelligence in Maryland is $104,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,200.00 and $128,600.00 per year, depending on experience, location, and employer.

What is a program manager artificial intelligence?

Program Managers in Artificial Intelligence (AI) are professionals who oversee and coordinate AI projects and initiatives within an organization. They work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to ensure that AI programs are delivered on time, within budget, and meet strategic goals. Their responsibilities typically include project planning, resource allocation, risk management, and communicating progress to leadership. Program Managers in AI also help bridge the gap between technical teams and business objectives, ensuring that AI solutions align with organizational priorities.

How does a program manager artificial intelligence typically collaborate with data scientists and engineers on complex projects?

A Program Manager in AI acts as a crucial bridge between stakeholders, data scientists, and engineers to ensure projects align with business goals and technical feasibility. They coordinate regular meetings, facilitate clear communication of requirements, and help resolve blockers that arise during development. By translating business objectives into actionable tasks, they enable cross-functional teams to stay aligned and deliver results efficiently. Additionally, they often oversee timelines, resource allocation, and risk management to keep AI initiatives on track.

What are the key skills and qualifications needed to thrive as a program manager artificial intelligence, and why are they important?

To thrive as a Program Manager in Artificial Intelligence, you need a strong understanding of AI concepts, project management methodologies, and experience overseeing technical teams, often supported by a degree in computer science or engineering and certifications like PMP. Familiarity with AI development tools, cloud platforms (such as AWS, Azure, or Google Cloud), and agile project management systems is typically required. Exceptional communication, stakeholder management, and problem-solving skills help you align cross-functional teams and drive projects to successful completion. These skills and qualities are crucial for delivering complex AI initiatives on time, within budget, and in alignment with organizational objectives.

What are popular job titles related to Program Manager Artificial Intelligence jobs in Maryland?

For Program Manager Artificial Intelligence jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Program Manager Artificial Intelligence jobs in Maryland look for?

The top searched job categories for Program Manager Artificial Intelligence jobs in Maryland are:

What cities in Maryland are hiring for Program Manager Artificial Intelligence jobs?

Cities in Maryland with the most Program Manager Artificial Intelligence job openings:

Program Manager Artificial Intelligence jobs near you

Software Engineer IV, Artificial Intelligence

X Energy LLC

Rockville, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

X-energy LLC conducts a thorough recruiting process and will never issue offers without interview to discuss qualifications and responsibilities. All applications will be submitted via our company career page, www.x-energy.com/careers/. We will never ask you to provide payment information as part of the recruiting process. If anyone claiming to represent X-energy directs you in a manner otherwise, please contact us at www.x-energy.com/contact-us.
Job Description
This role is responsible for contributing to X-energy's Artificial Intelligence (AI) Solutions Tiger Team that accelerates XE-100 nuclear reactor development workflows across business and engineering functions. Working under the leadership of the Artificial Intelligence function in a collaborative tiger team environment, this position requires expertise in at least one of the following areas: front-end development, agentic AI, data/systems integration, ML-Ops, or product management. The position will work closely with colleagues to rapidly develop and deploy AI solutions that enhance engineering productivity, knowledge management, and decision support across X-energy.
Job Profile Tasks/Responsibilities:
  • Work collaboratively in a tiger team environment to rapidly develop production-ready AI solutions.
  • Contribute to the design and implementation of autonomous AI systems that enhance XE-100 reactor development.
  • Document solutions and support knowledge transfer to relevant technical teams.
  • Implement and maintain development best practices and quality standards.
  • Perform work in accordance with X-energy quality assurance procedures.
  • Maintain professional demeanor and behavior at all times in all forms of communication.
  • Perform other duties as assigned by manager.
  • Perform additional duties based on area of assignment:
    • Front-end Development:
      • Design and implement user interfaces using React, TypeScript, Tailwind CSS, and Vite.
      • Develop full-stack solutions connecting frontend interfaces to AWS backend services.
      • Create responsive dashboards and visualization tools for engineering workflows and AI agent interactions.
      • Implement real-time communication through WebSockets and REST APIs.
      • Architect maintainable, scalable frontend solutions for technical applications.
      • Implement secure authentication and authorization systems for enterprise applications.
      • Create and maintain CI/CD pipelines for web applications.
        Agentic AI:
        • Research and implement cutting-edge techniques in autonomous agent development.
        • Implement safety and alignment protocols for autonomous systems in engineering contexts.
        • Develop frameworks with LangChain, LangGraph, and AWS Strands for complex workflows.
        • Implement RAG and graph-RAG systems for enhanced knowledge retrieval.
        • Create systems for agent reasoning, planning, memory management, and tool calling.
        • Develop multi-turn agentic workflows optimized for engineering and business contexts.
        • Design and implement autonomous agent architectures using AWS Bedrock and related services.
        • Data & Systems Integration:
          • Strong experience designing and implementing data lakes and ETL processes.
          • Deep expertise in AWS data services including Glue, Aurora, DynamoDB, and S3.
          • Background in integrating diverse systems and data sources.
          • Experience with API design and implementation.
          • Proficiency with data modeling and schema design for varied workloads.
          • Understanding of data security and governance best practices.
        • ML - Ops:
          • Create automated deployment pipelines using modern CI/CD tools.
          • Develop monitoring systems for application performance and reliability.
          • Implement versioning and governance for code and dependencies using version control systems.
          • Design and maintain continuous integration workflows.
          • Establish cloud development lifecycle practices across platforms.
          • Create testing frameworks for validating system behavior in serverless environments.
          • Configure and optimize container orchestration services for application deployment.
        • Product Management:
          • Develop detailed technical specifications for AI products and solutions.
          • Create and maintain product roadmaps aligned with engineering needs.
          • Serve as technical liaison between development team and internal customers.
          • Define and track product metrics and success criteria.
          • Develop product strategy and positioning for AI solutions.
          • Create training materials and documentation for users.
          • Design go-to-market strategies for internal AI solution adoption.
          • Evaluate and select appropriate AWS services for solution architecture.
          • Develop AWS cost optimization strategies and resource planning.
          • Create integration strategies between AWS services and existing systems.
          • Design and document API specifications and technical requirements.
          • Create system architecture diagrams and technical documentation.
          • Develop technical prototypes and proof-of-concepts using appropriate frameworks.
          • Perform technical analysis of competing solutions and technologies.
          • Conduct technical reviews and code walkthroughs with engineering teams.
          • Implement performance testing methodologies and benchmarking strategies.
          • Create technical acceptance criteria for feature development.
          • Design data models and database schemas to support product features.
          • Develop technical migration plans for system upgrades.

Job Profile Minimum Qualifications:
  • Bachelor's degree in computer science, artificial intelligence, or related field from an accredited university or college.
  • Experience with Git, GitLab, CI/CD, and modern development workflows.
  • Proficiency with Jira, Confluence, and AI-enhanced development environments.
  • Experience working in collaborative, fast-paced development teams.
  • Strong communication skills and ability to explain complex technical concepts.
  • Additional qualifications based on assigned area:
    • Front-end Development:
      • Strong expertise in React, TypeScript, and modern JavaScript development.
      • Experience with Vite, Bun, and Tailwind CSS.
      • Proficiency in implementing WebSockets and REST APIs.
      • Background developing user interfaces for technical or engineering applications.
      • Experience with AWS services for web application deployment.
    • Agentic AI:
      • Deep expertise in modern large language models and agent architectures.
      • Experience implementing multi-turn agentic workflows.
      • Proficiency with RAG and graph-RAG implementations.
      • Experience with LangChain, LangGraph, AWS Strands, or similar frameworks.
      • Strong understanding of AWS AI services, particularly AWS Bedrock.
      • Background in developing AI systems for practical business applications.
    • Data & Systems Integration:
      • Strong experience designing and implementing data lakes and ETL processes.
      • Deep expertise in AWS data services including Glue, Aurora, DynamoDB, and S3.
      • Background in integrating diverse systems and data sources.
      • Experience with API design and implementation.
      • Proficiency with data modeling and schema design for varied workloads.
      • Understanding of data security and governance best practices.
    • ML-Ops:
      • Background in deploying and monitoring applications in production environments.
      • Knowledge of versioning systems for code and dependencies.
      • Experience with continuous integration and DevOps tools.
      • Understanding of cloud development lifecycle practices.
      • Background in testing frameworks for systems.
      • Experience with cloud-based monitoring and alerting solutions.
      • Proficiency with cloud deployment services and containerization.
    • Product Management:
      • Experience in technical product management for software or AI products.
      • Background creating product roadmaps and specifications.
      • Experience serving as technical liaison with customers.
      • Knowledge of product metrics definition and tracking.
      • Understanding of go-to-market strategy development.
      • Experience creating training materials and documentation.
      • Familiarity with AWS service portfolio and selection strategies.
      • Experience with AWS solution architecture and cloud cost management.
      • Background in AWS integration planning for enterprise applications.
      • Proficiency in technical writing and API documentation.
      • Experience with system architecture design and diagramming tools.
      • Background in software development or programming.
      • Knowledge of database design and data modeling principles.
      • Experience creating technical prototypes or proof-of-concepts.
      • Understanding of software testing methodologies and performance benchmarking.
      • Background in system integration and technical requirements gathering.
      • Experience with technical acceptance testing and validation.

Position Level Minimum Qualifications:
  • Typically, ten years of experience in a relevant role required.

Location: 9801 Washingtonian Blvd, Gaithersburg, MD
Work Site Expectations: 3 days in office
Travel Expectations: Up to 5%
Hours: Standard office hours are 8:00am - 5:00pm ET, Monday - Friday
Compensation
As required by Maryland and other applicable state law, X Energy, LLC (X-energy) lists the expected compensation range for a publicly advertised job opportunity based upon the job requirements (e.g. education/training, experience, skill sets, etc.). Individual candidates who meet the job requirements for the posted position will be offered a salary within this range based on their respective levels of education/training, experience, and other qualifications unique to them. Salary ranges may vary based on the specific office location and region referenced in the posting to take into consideration differences in cost of living and may not be reflective of all regions. Please note that compensation ranges listed for US job postings reflect base salary only and do not include benefits or other incentives.
Offers within the posted salary range are commensurate with the individual's qualifications for the position, along with a view on internal equity, market data, and room for growth. The salary range for this position is:
$144,000- $192,000
Position Job Classification
Full time - Exempt
Benefits
X Energy, LLC offers a robust benefits package that includes a 401K plan with an employer match, Medical/Dental /Vision Insurance, Life and Disability Insurance, Paid Time Off, and a Tuition Reimbursement/Professional Development policy that supports the continuing education of our employees.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
X Energy, LLC participates in E-Verify. Please visit the links below for more information about E-Verify and the protection of your Right to Work.
Right To Work Link: If you have the right to work, don't let anyone take it away (e-verify.gov)
E-Verify Participation Link: E-Verify Participation Poster English and Spanish

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