Senior AI Product Designer Jobs in District of Columbia
Senior AI Product Designer jobs in District of Columbia are concentrated in one of the most active and competitive markets in the country, driven by the region's dense cluster of federal agencies, defense contractors, and technology consultancies. Most hiring is centered in Washington D.C. itself, with significant activity in Arlington and Bethesda, where employers like Booz Allen Hamilton, Leidos, and Deloitte Government Services maintain large AI and digital transformation practices. The most in-demand specializations include responsible AI design, human-AI interaction, and government-facing product experiences. Find a role that fits below and apply directly.
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Showing 5 of 16+ Senior AI Product Designer jobs
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 16 Senior AI Product Designer Jobs in District of Columbia
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Find JobsSenior AI Product Designer Jobs by City in District of Columbia
Where District of Columbia roles are concentrated, by current openings.
Senior AI Product Designer 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 senior AI product designer jobs across District of Columbia.
- Portfolio demonstrating end-to-end AI product design work for enterprise or government clients
- Five or more years of product design experience with at least two years in AI or machine learning contexts
- Proficiency in Figma and experience designing for complex data-driven or agentic systems
- Demonstrated ability to lead design thinking workshops and cross-functional product teams
- Experience applying responsible AI principles and accessibility standards to product interfaces
- Familiarity with federal procurement environments or public sector digital service delivery
Senior AI Product Designer Jobs in District of Columbia: Frequently Asked Questions
How do you become a senior ai product designer in District of Columbia?
Senior ai product designer roles in District of Columbia typically require a bachelor's degree in design, human-computer interaction, or a related field, combined with a strong portfolio of AI-integrated product work. There is no state-issued license for this role, but clearance eligibility is a meaningful differentiator in the D.C. market, where many positions sit inside federal or defense environments. Candidates who have led design on data-heavy or government-facing products move into senior roles faster in this region.
Which companies hire senior ai product designers in District of Columbia?
District of Columbia senior ai product designer roles are posted by B&A, SOSi, and Noblis and others right now, based on current listings on Migrate Mate as of September 2026. The D.C. market is especially active among large government consulting and technology services firms that embed design teams directly into federal agency engagements.
Which District of Columbia cities have the most senior ai product designer jobs?
Washington account for the largest share of senior ai product designer openings in District of Columbia. Washington D.C. itself anchors the market through its concentration of federal agencies and major consulting headquarters, while Arlington and Bethesda draw significant hiring from defense technology contractors and health-focused government services firms located just across the district line.
Are there remote senior ai product designer jobs in District of Columbia?
Yes, and more than many comparable senior design roles. About 100% of senior ai product designer openings tied to District of Columbia are remote or hybrid as of September 2026, reflecting the desk-based and collaborative-tool-driven nature of AI product design work. The portions of the role most likely to remain remote include user research synthesis, design system work, and cross-functional alignment, while on-site presence is more common for engagements with classified or sensitive federal clients.
How can I get hired as a senior ai product designer in District of Columbia with little or no experience?
The most realistic entry path is through a junior or associate product designer role inside a D.C.-area government services firm or digital consultancy, then building toward AI-specific work over time. Firms like Booz Allen Hamilton and Deloitte regularly hire early-career designers into structured programs aligned with federal digital transformation initiatives. A portfolio featuring even one AI-adjacent project, such as a chatbot interface or a data visualization tool, combined with familiarity with accessibility standards required under federal contracts, gives candidates a concrete edge when applying.
Where can I find and apply to senior ai product designer jobs in District of Columbia?
You can find and apply to senior ai product designer jobs in District of Columbia on Migrate Mate, which lists current openings across the region. Search the listings, find roles that fit your experience and specialization, and apply directly to the ones that match.
See All 16 Senior AI Product Designer 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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