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Ai Platform Engineer Jobs in Virginia (NOW HIRING)

Quevera LLC

AI Platform Engineer

Herndon, VA · On-site

Quevera is seeking a highly skilled AI Platform Engineer with an active TS/SCI clearance with Polygraph to support mission-critical programs in Northern Virginia . In this role, you will support the ...

New

Quevera LLC

AI Platform Engineer

Herndon, VA · On-site

Quevera is seeking a highly skilled AI Platform Engineer with an active TS/SCI clearance with Polygraph to support mission-critical programs in Northern Virginia . In this role, you will support the ...

New

DCI Solutions

Platform Engineer - McLean, VA

Chantilly, VA · On-site

$220K - $270K/yr

AI Platform Engineer Locations: Chantilly, VA Pay: $220,000.00 - $270,000.00 per year Job Type: Full-time DCI Job Requirement for: AI Platform Engineer Locations: Chantilly, VA Serves as a Platform ...

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Staffingine LLC

AI Platform Developer

Herndon, VA · On-site

Job Title: Sr. AI Platform Developer Job Location: Herndon, VA Job Type: Contract * Programming Languages: Mastery of Python is essential, with R, Java, and C++ also being highly valuable. * Machine ...

REDLattice

AI/CNO Engineer

Dulles, VA

$124K - $171K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

REDLattice

AI/CNO Engineer

Chantilly, VA

$123K - $169K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

REDLattice, Inc.

AI/CNO Engineer

Chantilly, VA · On-site

$130K - $178K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

REDLattice

AI/CNO Engineer

Dulles, VA

$128K - $175K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

REDLattice

AI/CNO Engineer

Dulles, VA

$127K - $175K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

REDLattice

AI/CNO Engineer

Dulles, VA

$127K - $175K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Virginia

Ai Platform Engineer information

See Virginia salary details

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How much do ai platform engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ai platform engineer in Virginia is $63.41, according to ZipRecruiter salary data. Most workers in this role earn between $50.05 and $73.17 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

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

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.
What are popular job titles related to Ai Platform Engineer jobs in Virginia? For Ai Platform Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Ai Platform Engineer jobs in Virginia look for? The top searched job categories for Ai Platform Engineer jobs in Virginia are:
What cities in Virginia are hiring for Ai Platform Engineer jobs? Cities in Virginia with the most Ai Platform Engineer job openings:
Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Virginia as of August 2026, with employment types broken down into 50% Full Time, 47% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $131,885 per year, or $63.4 per hour.

AI Platform Engineer

Quevera LLC

Herndon, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted yesterday

New

Job description

Job Description:

Quevera is seeking a highly skilled AI Platform Engineer with an active TS/SCI clearance with Polygraph to support mission-critical programs in Northern Virginia. In this role, you will support the development, integration, deployment, and operational maintenance of an enterprise AI platform that delivers secure, cloud-native capabilities within a classified environment.

Working alongside software engineers and cloud engineering teams, you will troubleshoot and resolve issues related to AI chat functionality, Retrieval-Augmented Generation (RAG), and enterprise system integrations. You'll develop and maintain integration components, deploy cloud-native services, and ensure platform components remain secure, compliant, and operationally resilient.

As an AI Platform Engineer, you'll have the opportunity to support cutting-edge AI capabilities while contributing to the reliability, security, and continuous improvement of enterprise AI solutions supporting critical national security missions.


Work Location:

  • Primary Work Location: Customer and AWS facilities in Herndon, Virginia (Northern Virginia).
  • Position requires working onsite within a SCIF environment five (5) days per week.
  • Participation in an on-call rotation is required to support production troubleshooting and system outages.


Job Responsibilities:

  • Troubleshoot and debug issues affecting enterprise AI capabilities, including chat functionality, Retrieval-Augmented Generation (RAG), and integrations with enterprise systems.
  • Develop, implement, maintain, and enhance integration components supporting AI platform functionality.
  • Maintain version compliance across platform components by applying security patches, bug fixes, feature enhancements, and configuration updates.
  • Communicate changes to component versions, configurations, and platform functionality as needed.
  • Deploy, monitor, and maintain cloud-native integration components using AWS services including Lambda, ECS Fargate, DynamoDB, and API Gateway.
  • Develop, review, and maintain enterprise application code using Python and TypeScript.
  • Collaborate with engineering teams to ensure the reliability, availability, and performance of AI platform services.
  • Support ongoing platform operations through troubleshooting, maintenance, and continuous improvement activities.


Minimum Requirements:

  • Active TS/SCI clearance with Polygraph required.
  • Must already possess an active customer clearance with current customer accounts.
  • Must be eligible for crossover to C2E prior to starting.
  • Demonstrated proficiency with Python and TypeScript.
  • Experience troubleshooting complex software applications within fast-paced production environments.
  • Strong problem-solving skills with the ability to work independently.
  • Willingness to work onsite within a SCIF environment daily, as required.
  • Willingness to participate in an on-call rotation to support production outages and operational issues.
  • Mid- to senior-level software development experience.


Desired Skills:

  • Experience building, deploying, and troubleshooting containerized applications and AWS Lambda functions.
  • Experience working with AWS cloud services.
  • Experience using AWS CloudFormation and Cloud Development Kit (CDK).
  • Experience with Git version control, GitLab, and CI/CD workflows.
  • Experience integrating applications with AWS API Gateway.
  • Familiarity with cloud monitoring tools.
  • Familiarity integrating applications with enterprise services, databases, and customer networks.
  • AWS Associate-level certification or higher.


Why Join Quevera?

Award-Winning Culture

Quevera was recognized as a Top Workplace in the Washington, DC/Baltimore region for 2025, marking our fifth consecutive year receiving this distinction based on employee feedback.

Outstanding Benefits

We invest in our employees and their families through a highly competitive benefits package, including:

  • 100% employer-paid medical coverage (optional plan)
  • Competitive options for Medical, Dental and Vision insurance
  • Employer-paid short-term and long-term disability coverage
  • Employer-paid life insurance
  • $5,000 annually for education, training, certifications, and professional development
  • Career advancement through our structured iQTouch Program
  • Up to 6% 401(k) match
  • Additional 4% profit-sharing contribution, at company discretion

At Quevera, we believe exceptional people deserve exceptional opportunities. We're more than just a workplace—we're a team of innovators, problem-solvers, and industry experts committed to delivering mission-critical solutions while fostering professional growth, collaboration, and technical excellence.

Quevera is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age or any other characteristic protected by law. #LI-AA1