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Ai Manager Jobs in Silver Spring, MD (NOW HIRING)

PenFed Credit Union

SVP Artificial Intelligence

Mclean, VA

$158K - $198K/yr

AI Management--establishing and overseeing the enterprise framework for AI lifecycle management, risk management, compliance, inventory management, performance monitoring, reporting, and responsible ...

Bechtel

AI Training Manager

Reston, VA

$140K - $203K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bechtel is seeking an experienced AI Training Manager to lead our Enterprise AI Training Program within the AI Center of Excellence. In this role, you will be responsible for equipping all Bechtel ...

Bechtel

AI Training Manager

Reston, VA · On-site

$140K - $203K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bechtel is seeking an experienced AI Training Manager to lead our Enterprise AI Training Program within the AI Center of Excellence. In this role, you will be responsible for equipping all Bechtel ...

Bechtel

AI Enablement Manager

Reston, VA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The AI Enablement Manager coordinates with the Functional AI Leads, managing the AI Champions Network, and designing the training and change management programmes that embed AI into everyday work.

Bechtel

AI Enablement Manager

Reston, VA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The AI Enablement Manager coordinates with the Functional AI Leads, managing the AI Champions Network, and designing the training and change management programmes that embed AI into everyday work.

RSC2 INC

AI Product Manager

Hanover, MD

$121K - $278K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

RSC2 is seeking an amazingly talented AI Product Manager to join our team in Hanover, MD! Requirements In this role you will get to provide strategic and operational guidance to teams developing AI ...

RSC2, Inc

AI Product Manager

Hanover, MD · On-site

$121K - $278K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

RSC2 is seeking an amazingly talented AI Product Manager to join our team in Hanover, MD! Requirements In this role you will get to provide strategic and operational guidance to teams developing AI ...

RSC2

AI Product Manager

Hanover, MD · On-site

$121K - $278K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

RSC2 is seeking an amazingly talented AI Product Manager to join our team in Hanover, MD! Requirements: In this role you will get to provide strategic and operational guidance to teams developing AI ...

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Showing results 21-40

All JobsAi JobsAi Manager JobsAi Manager Jobs in Silver Spring, MD

Ai Manager information

See Silver Spring, MD salary details

$24.5K

$105.5K

$198.9K

How much do ai manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for ai manager in Silver Spring, MD is $105,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,247.00 and $145,731.00 per year, depending on experience, location, and employer.

How do you become an AI manager?

To become an AI manager, candidates typically need a strong background in computer science, data science, or related fields, along with experience in artificial intelligence, machine learning, or data analysis. Developing leadership skills and understanding project management are also important, often supported by certifications like PMP or specialized AI courses. Gaining hands-on experience through projects or roles in AI development is essential for advancing to management positions.

What is the role of an AI manager?

An AI manager oversees the development, implementation, and maintenance of artificial intelligence projects within an organization. They coordinate teams of data scientists and engineers, set project goals, and ensure AI solutions align with business objectives, often requiring knowledge of machine learning tools and programming languages. Their role involves managing timelines, budgets, and stakeholder communication to deliver effective AI systems.

What does an AI manager do?

An AI Manager oversees the development, implementation, and optimization of artificial intelligence solutions within an organization. They lead AI teams, manage projects, and ensure alignment with business goals while addressing technical and ethical concerns. AI Managers collaborate with data scientists, engineers, and executives to drive innovation and improve operational efficiency. They also stay updated on industry trends and advancements to leverage AI effectively.

What are the key skills and qualifications needed to thrive as an AI manager?

To thrive as an AI Manager, you need a strong background in computer science, machine learning, project management, and proven experience leading AI initiatives, often supported by a relevant degree or industry certifications. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, cloud platforms, and knowledge of data governance and MLOps is commonly required. Excellent leadership, problem-solving, and communication skills help AI Managers effectively coordinate cross-functional teams and translate business objectives into actionable AI solutions. These competencies are essential for successfully driving AI projects from conception to deployment while aligning with organizational goals.

How much does an AI manager make?

An AI manager's salary typically ranges from $100,000 to $180,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas may offer higher compensation, often supplemented with bonuses and stock options.

What types of teams or departments does an AI manager typically collaborate with?

AI Managers work closely with data scientists, software engineers, product managers, and business stakeholders to ensure AI projects align with company objectives. They often coordinate with IT teams for infrastructure requirements, as well as legal and compliance teams regarding data privacy and ethical AI practices. Close collaboration with these groups helps deliver robust and scalable AI solutions, fostering a multidisciplinary approach that enhances project success. By acting as a bridge between technical and non-technical teams, AI Managers ensure that business needs are clearly understood and translated into effective AI strategies.

What are the most commonly searched types of Ai jobs in Silver Spring, MD?

The most popular types of Ai jobs in Silver Spring, MD are:

What job categories do people searching Ai Manager jobs in Silver Spring, MD look for?

The top searched job categories for Ai Manager jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Ai Manager jobs?

Cities near Silver Spring, MD with the most Ai Manager job openings:

Ai Manager jobs near you
Infographic showing various Ai Manager job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $105,517 per year, or $50.7 per hour.

AI Product Manager, Public Sector

Dynamo AI

Washington, DC • On-site

Full-time

Posted 28 days ago

Job description

About Dynamo AI
Dynamo AI helps organizations deploy AI systems that are secure, reliable, observable, policy-aligned, and production-ready. As government and enterprise customers adopt Generative AI, agentic systems, copilots, and AI-enabled workflows, Dynamo provides the custom evaluation, control, agent assurance, and observability infrastructure needed to move from experimentation to trusted production deployment.
Dynamo's platform helps customers evaluate models and applications before deployment, protect sensitive data and enforce policy during use, govern agent actions, and maintain evidence for oversight. Our capabilities are flexible across cloud, hybrid, on-prem, edge, and air-gapped environments.
In This Role You'll
  • Become deeply fluent in Dynamo's evaluation, guardrail, and agent governance platform, including DynamoEval, DynamoGuard, AgentWarden, and related capabilities.
  • Build deep relationships with public sector customers, mission users, technical evaluators, and executive stakeholders to understand operational needs, constraints, and success criteria.
  • Translate customer signal into product strategy, business cases, roadmap priorities, PRDs, and measurable product requirements.
  • Lead discovery, prototyping, and iteration for public sector use cases across AI evaluation, red-teaming, runtime controls, governance, observability, and agentic systems.
  • Partner with engineering, research, design, delivery, and go-to-market teams to prioritize and ship capabilities that solve real customer problems.
  • Analyze AI system behavior, evaluation results, datasets, failure modes, guardrail decisions, and customer workflows to refine product direction.
  • Create customer-facing narratives, demos, product collateral, battle cards, and executive-ready materials that support adoption and market readiness.
  • Track whether product investments are delivering measurable outcomes, including risk reduction, deployment acceleration, operational control, and mission value.

You Might Thrive In This Role If You
  • Enjoy operating at the intersection of AI, product strategy, mission needs, technical execution, and customer outcomes.
  • Have strong ownership instincts and are comfortable driving product direction through ambiguity.
  • Communicate clearly with engineers, researchers, executives, technical evaluators, mission users, and go-to-market teams.
  • Like spending time with customers directly, including on-site, to build a high-fidelity understanding of their workflows and constraints.
  • Are comfortable turning messy feedback, prototype learnings, and field observations into clear product decisions.
  • Think in terms of measurable outcomes, not just shipped features.
  • Are excited to shape AI evaluation, runtime control, and agent governance products for high-stakes public sector environments.

Preferred Qualifications
  • 5+ years in product management, AI product strategy, technical program management, solutions, product engineering, strategy consulting, enterprise SaaS, or other customer-facing technical roles.
  • Deep expertise in Generative AI and LLM systems, including model behavior, evaluation design, red-teaming, RAG/copilot architectures, prompt injection, guardrails, observability, and agentic workflows.
  • Experience building, launching, or scaling technical products for enterprise, government, regulated, or mission-critical customers.
  • Strong technical fluency across AI/ML systems, APIs, cloud environments, cybersecurity, data infrastructure, or deployment architectures.
  • Ability to translate customer needs into product requirements, business cases, roadmap priorities, success metrics, and executive-ready narratives.
  • Strong analytical skills, including comfort working with datasets, benchmark results, evaluation outputs, user feedback, and product telemetry.
  • Excellent writing, presentation, prioritization, and cross-functional leadership skills.
  • Willingness to travel regularly to customer sites.
  • U.S. Citizenship required; active U.S. security clearance preferred, with eligibility and willingness to obtain one required.

Nice To Have
  • Experience supporting Department of War, IC, federal civilian, or other public sector customers.
  • Familiarity with RMF, FedRAMP, IL environments, ATO processes, CMMC, or government software accreditation.
  • Experience with AI evaluation, red-teaming, runtime guardrails, model observability, AI governance, or agentic AI systems in production environments.
  • Familiarity with public sector acquisition pathways, including BAAs, OTAs, SBIR/STTR, IDIQs, production transition, or programs of record.
  • Experience partnering with systems integrators, primes, federal channel partners, or public sector resellers.
  • Prior experience at a defense-tech, AI, cybersecurity, cloud, or enterprise SaaS company.
  • Active Secret, Top Secret, or TS/SCI clearance.

Why Join Us
  • Work at the forefront of generative AI safety and compliance.
  • Partner with federal agencies, defense organizations, primes, and systems integrators to move real-world AI assurance deployments from opportunity to award and adoption.
  • Be part of a mission-driven team defining the future of trustworthy AI for defense and the enterprise.
  • Competitive compensation, equity, and benefits.

Apply