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Artificial Intelligence Machine Learning Engineer Jobs in Washington, DC

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Artificial Intelligence Machine Learning Engineer information

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$35.7K

$145.8K

$219.1K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for artificial intelligence machine learning engineer in Washington, DC is $145,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,900.00 and $175,500.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Washington, DC?

For Artificial Intelligence Machine Learning Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Washington, DC look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Washington, DC are:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $145,790 per year, or $70.1 per hour.

Artificial Intelligence (AI) Engineer

AGE Solutions

Fort George G Meade, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

About Us
AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. Prioritizing innovation and client-focused solutions, we assist major agencies in addressing intricate issues and ensuring a more secure future.
AGE Solutions is seeking a highly motivated Artificial Intelligence (AI) Engineer to support our DoD customer's Emerging Technology Mission Assurance initiatives by researching, evaluating, engineering, and integrating Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and other emerging technologies that strengthen Department of Defense cybersecurity and enterprise capabilities.
Working directly with our customer's engineers, industry partners, and government stakeholders, the successful candidate will conduct technology research, support technology assessments and proof-of-concept activities, evaluate commercial and government AI solutions, and provide engineering recommendations that inform enterprise architecture, cybersecurity modernization, and future technology adoption across the DoD Information Network (DoDIN).
Responsibilities Include:
  • Research, evaluate, and assess emerging technologies, including Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Generative AI, cloud computing, cybersecurity, identity management, networking, and advanced computing platforms.
  • Analyze commercial and government technology solutions and provide technical recommendations supporting DISA modernization initiatives.
  • Design, develop, and execute technology evaluations, laboratory testing, pilot programs, and proof-of-concept demonstrations.
  • Develop technology evaluation plans, operational use cases, success criteria, performance metrics, and technical assessment reports.
  • Develop AI prototypes and assist with transitioning successful capabilities into operational environments.
  • Evaluate AI model performance, scalability, security, and operational effectiveness.
  • Apply systems engineering principles throughout technology evaluation, integration, testing, and transition activities.
  • Develop engineering documentation, including architecture diagrams, technical analyses, white papers, CONOPS, and engineering recommendations.
  • Support DISA integration with commercial cloud providers and cloud-hosted AI capabilities.
  • Evaluate AI workloads across hybrid, on-premises, and multi-cloud environments.
  • Collaborate with DISA organizations, DoD agencies, Combatant Commands, industry partners, and other stakeholders to evaluate emerging technologies.
  • Present technical findings, recommendations, and executive briefings to government leadership and Integrated Product Teams (IPTs).
  • Support strategic technology planning, technology roadmaps, business case analyses, and technology migration strategies.

Required Skills, Qualifications, and Experience:
  • Experience:
    • 10 Years of experience
      • 5+ years supporting Artificial Intelligence, Machine Learning, Systems Engineering, Emerging Technologies, Cybersecurity, or Cloud Engineering
  • Education:
    • Bachelor's degree in computer science, Artificial Intelligence, Systems Engineering, Cybersecurity, Information Technology, or a related technical field (or equivalent experience).
  • Security Clearance:
    • Must have and maintain a current DoD Top Secret Clearance.
  • Certifications:
    • Current DoD 8140 baseline certification (e.g., Security+ CE, CEH)
      • Highly Desired: Microsoft Azure AI Engineer Associate or Azure AI Fundamentals AWS Certified AI Practitioner or AWS Machine Learning Engineer
  • Experience with Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, or Generative AI technologies.
  • Experience conducting technology research, evaluations, proof-of-concepts, or pilot projects.
  • Knowledge of systems engineering principles and technology lifecycle management.
  • Experience with cloud computing platforms and AI-enabled cloud services.
  • Strong analytical, technical writing, and presentation skills.
  • Ability to develop technical documentation, reports, and executive briefings.
  • Strong communication and collaboration skills with government and technical stakeholders.

Preferred Qualifications:
  • Experience supporting DISA, DoD, Federal Government, or Intelligence Community technology modernization programs.
  • Experience with AI governance, Responsible AI, and AI security within government or regulated environments.
  • Experience with commercial cloud platforms such as Microsoft Azure or Amazon Web Services (AWS).
  • Familiarity with Zero Trust Architecture, NIST Risk Management Framework (RMF), and DoD cybersecurity policies.
  • Experience supporting enterprise architecture, technology roadmaps, and modernization initiatives.
  • Experience briefing senior government leadership and executive stakeholders.
  • Experience with DevSecOps, automation, containerization, or Kubernetes.
  • Knowledge of DISA Enterprise Integration and Innovation Center (EIIC), Risk - Management Executive (RME), or emerging technology assessment initiatives.
  • Active Top Secret clearance with SCI eligibility preferred.

Work Environment and Physical Demand:
  • This work will be conducted in an office environment. Must be able to sit for prolonged periods of time.
  • Location and Schedule:
    • Must be within commuting distance of Fort Meade, MD and able to work on-site on a hybrid schedule.
      • 1 day/week onsite required with additional days onsite if the project requires.

The projected salary range for this position is $155,000+ annually. Final compensation will be determined based on factors including years of relevant experience, active security clearance level, certifications, technical skillset, contract requirements, and overall qualifications.
At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally.
  • 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it.
  • Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact.
  • 401(k) with Match: We match 3% of your contributions with immediate vesting.
  • Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents.
  • Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs.
  • Parental Leave: 15 days of fully paid leave for new parents, because family matters.
  • Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving.
  • Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right.
  • Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create.

At AGE, you'll do work that matters, supported by a company that delivers for its people.

Apply