AI Jobs in District of Columbia
AI jobs in District of Columbia are among the most active in the country, concentrated in federal contracting, defense intelligence, policy research, and cybersecurity, with openings from junior data scientist to senior machine learning engineer. Most hiring clusters in Washington D.C. itself, where established employers like Booz Allen Hamilton, Leidos, and SAIC maintain major presences and consistently staff AI and machine learning roles. The most in-demand specialties are natural language processing, computer vision applied to government use cases, and AI ethics and governance. Scan the live roles below and apply to whichever ones fit.
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Artificial Intelligence Engineer
Department of Veterans Affairs Office of Information Security COSE Support
Position: Full-Time / Remote from Contractor Facility
Primary Work Location: Contractor facility within the United States; occasional coordinated support at VA Central Office, 811 Vermont Street NW, Washington, D.C.
JOIN OUR TEAM!
Caladwich is seeking a highly motivated, detail-oriented Artificial Intelligence Engineer to support the Department of Veterans Affairs Office of Information Security Cybersecurity Operations and Security Engineering (COSE) program. The selected professional will design, develop, evaluate, and deploy AI and machine-learning capabilities that support VA cybersecurity architecture and engineering. This role applies production-grade data science and software engineering practices while maintaining security, privacy, explainability, and Federal compliance.
This position offers the opportunity to contribute directly to responsible use of AI to improve cybersecurity analysis, engineering, automation, and decision support across VA. The engineer turns operational needs into measurable AI solutions and integrates them safely into enterprise workflows.
WHO WE ARE:
Caladwich is a U.S.-based Service-Disabled Veteran-Owned Small Business (SDVOSB) and SBA 8(a) certified company providing professional services and mission support solutions to federal agencies worldwide. Our capabilities include Acquisition Support, Program Management, Logistics Support Services, Process Improvement, Asset Management, and Operational Support Services for DoD, DHS, VA, and GSA customers.
As a Veteran-owned company, our mission remains steadfast: Integrity. Solutions. Results.
Core Responsibilities
- Design, build, train, evaluate, deploy, and maintain machine-learning models and AI systems in enterprise or Government environments.
- Identify and implement AI-enabled automation opportunities that reduce manual analysis, review cycle time, or rework without degrading security or quality.
- Collect, clean, transform, analyze, and govern data used for modeling, testing, monitoring, and decision support.
- Apply AI/ML engineering to security architecture, secure engineering, baseline management, risk analysis, and other COSE mission needs.
- Collaborate with data scientists, software developers, security architects, engineers, and domain experts to define requirements and validate outcomes.
- Develop production pipelines, interfaces, documentation, testing strategies, monitoring, and lifecycle controls for AI capabilities.
- Assess model performance, reliability, drift, bias, explainability, privacy, security, and operational risk; document limitations and mitigations.
- Integrate AI solutions with VA-approved platforms, applications, data sources, and security controls in accordance with Federal and VA policy.
Operational Support
- Coordinate with VA stakeholders, technical teams, system owners, and other contractors to resolve issues and keep work aligned with VA priorities.
- Develop, maintain, and submit accurate technical documentation, status information, and contract deliverables within required timeframes.
- Apply VA security, privacy, accessibility, records-management, and configuration-management requirements to all work products.
- Support risk, issue, dependency, schedule, and quality management activities, including corrective actions and continuous improvement.
- Protect VA information and systems, use approved collaboration and remote-access methods, and promptly report security or privacy concerns.
- Participate in meetings, reviews, briefings, and occasional travel as directed and approved under the task order.
- Prepare model documentation, data lineage, test evidence, deployment records, monitoring results, and decision-ready technical briefings.
- Support governance reviews, secure design assessments, incident response, vulnerability remediation, and ongoing model maintenance.
Required Qualifications
- Minimum 10 years of experience in relevant fields such as IT security, data science, or software engineering, including at least five years designing, developing, or deploying AI or machine-learning systems in enterprise or Government environments.
- Expertise working on data science, machine-learning, or AI projects and building, training, and deploying models and AI systems in production.
- Expertise collaborating across data science, software development, cybersecurity, and domain teams; preparing datasets; and applying AI to real-world enterprise problems.
- Master's degree in Artificial Intelligence, Business Administration, Business Management, Cybersecurity, Computer Science, Information Systems, Information Assurance, Information Security, Information Resource Management, or a related field.
- Certification in one or more of the following: IAT III, IAM III, or IASAE III.
- PWS substitution: a PhD in IT security, data science, software engineering, or a related field may substitute for up to five years of required experience. IAT III, IAM III, or IASAE III certification may substitute for a relevant Bachelor's degree or four years of relevant experience.
Other Requirements
- Must be able to read, write, speak, and understand the English language.
- Must successfully complete and maintain the VA personnel vetting and background investigation requirements applicable to assigned work; PWS Tasks 5.1 through 5.9 are designated Tier 4 / High Risk.
- Must complete required fingerprinting, personnel security forms, security and privacy training, and Rules of Behavior acknowledgments within Government-established timelines.
- Must qualify for and properly safeguard any required VA Personal Identity Verification (PIV) credential and Government-furnished equipment.
- Must be available and responsive during core hours of 8:00 a.m. to 5:00 p.m. Eastern Time on normal Federal Government workdays.
- Must be able to work from a Contractor-provided facility and travel occasionally to VA Central Office in Washington, D.C., or other approved locations when coordinated in advance.
- Remote access to VA systems must occur only through VA-approved methods and from locations permitted by VA policy.
Artificial Intelligence Engineer
Department of Veterans Affairs Office of Information Security COSE Support
Position: Full-Time / Remote from Contractor Facility
Primary Work Location: Contractor facility within the United States; occasional coordinated support at VA Central Office, 811 Vermont Street NW, Washington, D.C.
JOIN OUR TEAM!
Caladwich is seeking a highly motivated, detail-oriented Artificial Intelligence Engineer to support the Department of Veterans Affairs Office of Information Security Cybersecurity Operations and Security Engineering (COSE) program. The selected professional will design, develop, evaluate, and deploy AI and machine-learning capabilities that support VA cybersecurity architecture and engineering. This role applies production-grade data science and software engineering practices while maintaining security, privacy, explainability, and Federal compliance.
This position offers the opportunity to contribute directly to responsible use of AI to improve cybersecurity analysis, engineering, automation, and decision support across VA. The engineer turns operational needs into measurable AI solutions and integrates them safely into enterprise workflows.
WHO WE ARE:
Caladwich is a U.S.-based Service-Disabled Veteran-Owned Small Business (SDVOSB) and SBA 8(a) certified company providing professional services and mission support solutions to federal agencies worldwide. Our capabilities include Acquisition Support, Program Management, Logistics Support Services, Process Improvement, Asset Management, and Operational Support Services for DoD, DHS, VA, and GSA customers.
As a Veteran-owned company, our mission remains steadfast: Integrity. Solutions. Results.
Core Responsibilities
- Design, build, train, evaluate, deploy, and maintain machine-learning models and AI systems in enterprise or Government environments.
- Identify and implement AI-enabled automation opportunities that reduce manual analysis, review cycle time, or rework without degrading security or quality.
- Collect, clean, transform, analyze, and govern data used for modeling, testing, monitoring, and decision support.
- Apply AI/ML engineering to security architecture, secure engineering, baseline management, risk analysis, and other COSE mission needs.
- Collaborate with data scientists, software developers, security architects, engineers, and domain experts to define requirements and validate outcomes.
- Develop production pipelines, interfaces, documentation, testing strategies, monitoring, and lifecycle controls for AI capabilities.
- Assess model performance, reliability, drift, bias, explainability, privacy, security, and operational risk; document limitations and mitigations.
- Integrate AI solutions with VA-approved platforms, applications, data sources, and security controls in accordance with Federal and VA policy.
Operational Support
- Coordinate with VA stakeholders, technical teams, system owners, and other contractors to resolve issues and keep work aligned with VA priorities.
- Develop, maintain, and submit accurate technical documentation, status information, and contract deliverables within required timeframes.
- Apply VA security, privacy, accessibility, records-management, and configuration-management requirements to all work products.
- Support risk, issue, dependency, schedule, and quality management activities, including corrective actions and continuous improvement.
- Protect VA information and systems, use approved collaboration and remote-access methods, and promptly report security or privacy concerns.
- Participate in meetings, reviews, briefings, and occasional travel as directed and approved under the task order.
- Prepare model documentation, data lineage, test evidence, deployment records, monitoring results, and decision-ready technical briefings.
- Support governance reviews, secure design assessments, incident response, vulnerability remediation, and ongoing model maintenance.
Required Qualifications
- Minimum 10 years of experience in relevant fields such as IT security, data science, or software engineering, including at least five years designing, developing, or deploying AI or machine-learning systems in enterprise or Government environments.
- Expertise working on data science, machine-learning, or AI projects and building, training, and deploying models and AI systems in production.
- Expertise collaborating across data science, software development, cybersecurity, and domain teams; preparing datasets; and applying AI to real-world enterprise problems.
- Master's degree in Artificial Intelligence, Business Administration, Business Management, Cybersecurity, Computer Science, Information Systems, Information Assurance, Information Security, Information Resource Management, or a related field.
- Certification in one or more of the following: IAT III, IAM III, or IASAE III.
- PWS substitution: a PhD in IT security, data science, software engineering, or a related field may substitute for up to five years of required experience. IAT III, IAM III, or IASAE III certification may substitute for a relevant Bachelor's degree or four years of relevant experience.
Other Requirements
- Must be able to read, write, speak, and understand the English language.
- Must successfully complete and maintain the VA personnel vetting and background investigation requirements applicable to assigned work; PWS Tasks 5.1 through 5.9 are designated Tier 4 / High Risk.
- Must complete required fingerprinting, personnel security forms, security and privacy training, and Rules of Behavior acknowledgments within Government-established timelines.
- Must qualify for and properly safeguard any required VA Personal Identity Verification (PIV) credential and Government-furnished equipment.
- Must be available and responsive during core hours of 8:00 a.m. to 5:00 p.m. Eastern Time on normal Federal Government workdays.
- Must be able to work from a Contractor-provided facility and travel occasionally to VA Central Office in Washington, D.C., or other approved locations when coordinated in advance.
- Remote access to VA systems must occur only through VA-approved methods and from locations permitted by VA policy.
See All 6 AI Jobs in District of Columbia
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Where District of Columbia roles are concentrated, by current openings.
AI Job Market in District of Columbia
A snapshot from current District of Columbia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Law & Legal Services
What District of Columbia Employers Look For
The qualifications that appear most often in AI jobs across District of Columbia.
- Bachelor's or master's degree in computer science, data science, or a closely related field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience building, training, and deploying machine learning models in production environments
- Active U.S. security clearance or eligibility to obtain one for federal contract roles
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment
- Strong communication skills for presenting AI findings to non-technical government or executive stakeholders
AI Jobs in District of Columbia: Frequently Asked Questions
How do you become a ai in District of Columbia?
There is no state-issued license required to work as an AI professional in the District of Columbia. Most employers require a bachelor's or master's degree in computer science, data science, or a related technical field, along with a portfolio of applied machine learning or AI projects. Many federal contracting roles additionally require a security clearance, which employers typically sponsor after hire, making clearance eligibility a practical entry requirement for a large share of D.C.-area positions.
Which companies hire ais in District of Columbia?
Employers hiring ais in District of Columbia right now include Komline, WilmerHale, and Lawfare Institute, based on current listings on Migrate Mate as of September 2026. The D.C. market is heavily shaped by federal contractors and defense agencies, so many of the most active AI employers are large systems integrators and consulting firms with long-term government contracts.
Which District of Columbia cities have the most ai jobs?
The cities with the most ai openings in District of Columbia are Washington. Washington D.C. dominates because it is home to federal agencies, major defense contractors, and policy-focused think tanks that drive AI hiring, while surrounding areas like Arlington and Bethesda concentrate openings because of their dense clusters of contracting headquarters and national security organizations based in Northern Virginia and suburban Maryland.
Are there remote ai jobs in District of Columbia?
Yes, and more than most fields. About 100% of ai openings tied to District of Columbia are remote or hybrid as of September 2026, reflecting how transferable most AI and machine learning work is to distributed environments. The roles most likely to be fully remote are research, model development, and data engineering positions, while roles requiring access to classified systems or sensitive government data tend to require on-site presence.
How can I get hired as a ai in District of Columbia with little or no experience?
The most realistic entry path is through a federal contractor's associate or early-career AI program, which several large D.C.-area employers run specifically for recent graduates. Booz Allen Hamilton, Leidos, and SAIC all maintain structured early-career tracks where candidates without commercial AI experience can enter through data analyst or junior data scientist roles and build toward machine learning work. A strong GitHub portfolio, a master's degree, and clearance eligibility all meaningfully improve a candidate's standing in this market.
Where can I find and apply to ai jobs in District of Columbia?
You can find and apply to ai jobs in District of Columbia on Migrate Mate, which lists current openings in the District of Columbia market. Search the available roles, identify the ones that match your background and interests, and apply directly to whichever positions fit.
See All 6 AI Jobs in District of Columbia
Find roles in District of Columbia that match your experience and apply in just a few clicks.
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