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Ai Program Manager Jobs in Frederick, MD (NOW HIRING)

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Ai Program Manager information

See Frederick, MD salary details

$38.3K

$106.8K

$156.1K

How much do ai program manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai program manager in Frederick, MD is $106,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $131,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI program manager, and why are they important?

To thrive as an AI Program Manager, you need expertise in project management, a strong understanding of AI concepts, and experience leading cross-functional teams, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks, cloud platforms, agile methodologies, and certifications such as PMP or Scrum Master are highly valuable. Excellent communication, problem-solving, and stakeholder management skills set standout professionals apart in this role. These abilities ensure projects are delivered on time, align with business goals, and effectively bridge the gap between technical and non-technical teams.

What is the difference between Ai Program Manager vs Data Scientist?

AspectAi Program ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI projectsBachelor's/Master's/PhD in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentOversees AI projects, collaborates with cross-functional teams, manages timelinesAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require technical expertise, the Ai Program Manager focuses on overseeing AI initiatives and project management, whereas the Data Scientist concentrates on data analysis and model development. The roles often collaborate but serve different functions within AI projects.

What are some common challenges faced by AI program managers when coordinating cross-functional teams?

AI Program Managers often encounter challenges in aligning diverse teams—such as data scientists, engineers, product managers, and business stakeholders—toward shared project goals. Differences in technical backgrounds, communication styles, and priorities can lead to misunderstandings or delays. Successful AI Program Managers proactively facilitate clear communication, set well-defined milestones, and ensure that all team members understand the project's objectives and constraints. Building strong relationships across departments and maintaining adaptability are key strategies for overcoming these challenges.

What is an AI program manager?

An AI Program Manager is a professional responsible for overseeing and coordinating the planning, execution, and delivery of artificial intelligence projects within an organization. They work closely with data scientists, engineers, stakeholders, and business leaders to ensure AI initiatives align with business goals and are delivered on time and within budget. Their role often includes managing project timelines, resources, communication, and risk, while also keeping up with industry advancements and ensuring ethical AI practices. AI Program Managers bridge the gap between technical teams and business objectives, ensuring successful implementation of AI solutions.
What job categories do people searching Ai Program Manager jobs in Frederick, MD look for? The top searched job categories for Ai Program Manager jobs in Frederick, MD are:
What cities near Frederick, MD are hiring for Ai Program Manager jobs? Cities near Frederick, MD with the most Ai Program Manager job openings:
Infographic showing various Ai Program Manager job openings in Frederick, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,845 per year, or $51.4 per hour.

Applied AI Manager-Evaluation & Measurement

Leonardo DRS

Frederick, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Leonardo DRS rating

8.1

Company rating: 8.1 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

113th of 536 rated manufacturers


Job description

Job ID: 114086
The Leonardo DRS Airborne and Intelligence Systems business is a global leader and strategic partner committed to delivering world-class, full life-cycle defense and intelligence products that protect the security of our nation and our allies. From air combat training to state-of-the-art electronic warfare systems, our technology is deployed by virtually all U.S. military and government agencies around the world.
Job Summary
We've used AI before, now we treat it as a first-class citizen at Airborne & Intelligence Systems (AIS). We build and deploy AI across signals intelligence, electronic warfare, air combat training, and the mission systems that connect them. This work shows up on our floor, in the field, and on the company's P&L, while meeting the demanding standards of our defense and commercial customers. If you want your work and your talent to count - this is the place.
Two questions follow every AI system we build: does it actually work, reliably, on real jobs and is it actually worth the money we say it is? You own both answers. You design the test every capability must pass before it can ship, and you build the measurement that turns results into honest numbers leadership can trust. You hold the line. Nothing ships until it clears your bar - no test, no launch - and you're deliberately independent from the person who builds and deploys, so the check is real. When there's pressure to over-claim a result, you're the one who holds the number honest.
At the heart of this function is a proprietary platform, the encoded way this business does AI. It takes any employee from a rough idea to a governed, well-formed use case, checks it against the rules, and prepares a recommendation a human decision-maker rules on. You don't just use it; you also build it. The quality bar and measurement logic you design get embedded into the platform itself, so the standard travels with the system to every team that touches it. You encode the acceptance standard and the value math once, and every team inherits both.
This is a high impact, founding individual-contributor seat within the technical core of AI Excellence function with meaningful end to end work ownership. You report directly to top leadership of the function giving you outsize visibility, opportunity for personal growth and direct line to impact. Your peers will be AI leads for Solutions & Delivery/ Infrastructure & Deployment
Job Responsibilities
  • Define "good enough to ship." Design the evaluation for each capability - baseline, acceptance criteria, error budget, human-review points - documented before launch. Gate the launch.
  • Build the measurement. Stand up the pipelines and record keeping that track what each capability actually delivers.
  • Establish the truth. Connect each measurement directly to the source system that holds the ground truth.
  • Define what deployed systems must log. Set the trace and telemetry standard that keeps every shipped capability diagnosable and auditable.
  • Produce the numbers. Deliver the monthly and quarterly results - forecast versus actual, clean and without double-counting - that the function defends to Finance.
  • Keep the front door open. Run the record intake so every AI idea is captured, and nothing happens off the books.
  • Scope boundaries. You are not the claim owner, governance or reporting. You build the instrument that proves or disproves the claims in an auditable manner.
  • Guide, maintain and monitor the operational excellence program and activities, ensuring integration and coordination with the AI Excellence leadership
  • Manage opportunities identified for improvement using AI Excellence principles and methodologies.
  • Effectively communicate with team members, senior leaders and key stakeholders on the status, objectives, risks, and mitigation plans associated with projects, as well as ensure team members are aware of integrated project timelines.
  • Provide training in support of AI excellence objectives and the execution of chartered projects
  • Manage budget, cost, schedule and rate of return for AI excellence activities
  • Communicate clearly (written and oral) with customers, people and partners
  • Support, communicate, reinforce and defend the mission, values and culture of the organization

Qualifications
  • 5+ years in data, ML, or test engineering (regardless of total years exp), including 3+ years in evaluation or model validation, with recent hands-on large-language-model evaluation work.
  • Demonstrated bi-directional evaluation rigor: an example where your evaluation stopped something from shipping, and one where it cleared something others doubted. Expect us to probe the methodology of each.
  • Built a measurement practice where none existed. The first baselines, the first pipelines, the first dashboard leadership actually used, and it kept producing after you handed it off.
  • Data and measurement instrumentation skills: pipelines, dashboards, record-keeping, baselines from source-of-record data.
  • A demonstrated record of professional integrity under pressure: you have told someone, especially seniors "the number doesn't support that claim" and held.
  • Bachelor's degree and 5 years experience or equivalent combination of both. Engineering, Computer Science, Data Science, or a related technical field is preferred
  • Five years of relevant experience (or an equivalent combination of experience and training that provides the required knowledge, skills, and abilities)
  • Proficient technical expertise with demonstrated application
  • Excellent interpersonal, leadership, negotiation, communication and writing skills
  • U.S. citizenship, with the ability to obtain and maintain a U.S. Government security clearance.

Preferred Qualifications
  • Experience wiring metrics to operational systems of record (not survey- or estimate-based measurement).
  • Statistical literacy for probabilistic acceptance: error budgets, confidence bounds, claims that survive challenge.
  • Finance-adjacent exposure: cost accounting, benefits realization, or audit (a plus, not a requirement).
  • Defense cost-accounting context.
  • Active or prior security clearance.

U.S. Citizenship required. This position requires an active DOD security clearance or the ability to obtain such clearance within a reasonable time after commencement of employment.
Taking care of our people is a top priority at Leonardo DRS. We are proud to offer competitive salaries and comprehensive benefits, including medical, dental, and vision coverage, a company contribution to a health savings account, telemedicine, life and disability insurance, legal insurance, and a 401(k) savings plan. We champion wellness programs that focus on physical, emotional, and financial well-being. We develop our talent by offering programs and activities to support career-growth, professional development, and skill enhancement. And we understand there is more to life than work, and the importance of offering flexible work schedules with our 9/80 program, competitive vacation, health/emergency leave, paid parental leave, and community service hours.
*Some employees are eligible for limited benefits only
Leonardo DRS, Inc. and its subsidiaries provide equal opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. #AIS
Our Vision. To be the leading mid-tier defense technology company in the U.S.
Our Values. The Leonardo DRS culture is defined by our Core Values and Principles:
- Integrity
- Agility
- Excellence
- Customer Focus
- Community & Respect
- Innovation
We strive to uphold them in all aspects of our business practices to inspire our employees and provide outstanding support for our customers.

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