AI Engineer Jobs in District of Columbia
AI Engineer jobs in District of Columbia concentrate heavily in federal government contracting, defense intelligence, and policy-driven technology sectors, with demand ranging from mid-level practitioners to senior architects and research leads. Most hiring is centered in Washington DC proper, with additional activity in the surrounding Virginia and Maryland corridors, where established contractors like Booz Allen Hamilton, Leidos, and SAIC maintain large AI and data science practices. Natural language processing, machine learning operations, and AI ethics and governance are among the most sought-after specialties given the region's regulatory and national security focus. Scan the live roles below and apply to whichever ones fit.
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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
SR. AI SECURITY SOFTWARE ENGINEER (STARSHIELD)
AI is rapidly transforming the national security landscape. SpaceX needs to lead the way by developing AI solutions to solve the most pressing security problems. We can no longer respond at human speed in order to counter threats from adversaries — it is critical that we develop solutions to deal with this problem now.
As a senior engineer on the newly formed AI security team, you will develop AI-powered automation and platforms to identify and fix vulnerabilities, perform real-time detections/investigations/network defense, and more. This team heavily leverages AI for fast-paced development and rollout, while also ensuring that these AI security tools can be highly trusted and secure themselves. If you are passionate about AI, software, and security this role is for you.
Prior security engineering experience is preferred but not required. A great candidate has experience and/or deep enthusiasm for AI, agent engineering, robust software system design, and network and systems security.
RESPONSIBILITIES:
- Design and build security-critical agents for Starshield that automate network and systems defense
- Leverage AI to discover and fix security issues in Starshield infrastructure and systems
- Provide guidance and perform testing of AI integrations into new and existing Starshield systems
- Identify new areas of the program where meaningful security improvements can be gained via automation and AI
- Maintain existing production systems and improve security posture via both direct implementation and recommendations to other teams
BASIC QUALIFICATIONS:
- Bachelor's degree in computer science or another STEM discipline AND 5+ years of professional experience in software development; OR 7+ years of professional experience in security software development in lieu of a degree
- Experience with one or more software development languages (i.e. Python, C++, Golang)
PREFERRED SKILLS AND EXPERIENCE:
- Experience designing and building production software across the stack, including backend services, data models and migrations, and modern web frontends
- Experience taking software from prototype to production: containerized deployment on Kubernetes, CI pipelines, monitoring, and secure connections between services
- Experience designing, prompting, and securing agents that can perform long-running autonomous tasks
- Experience applying AI or machine learning approaches to classification and decision problems such as identifying malicious activity or malicious inputs to an agent
- Experience designing AI systems that learn and improve over time
- Experience in fundamental security engineering areas: identity, cryptography, network security, operating system security, detection and monitoring
- Flexibility, communicating clearly, and establishing and maintaining productive working relationships with other engineering teams
- Excellent communication skills, both written and verbal
- Ability to work both independently and in a team
- Active Top Secret, Top Secret SCI, or DOE Level Q clearance
ADDITIONAL REQUIREMENTS:
- Must be willing to work extended hours and weekends as needed
- This position requires successfully obtaining and maintaining a Top Secret Security Clearance as a condition of employment. While the clearance may not be immediately necessary upon hire, we encourage you to initiate the application process promptly upon accepting this offer. Your ability to secure the necessary clearance is essential for fulfilling key responsibilities of the role. Should you be unable to obtain it, SpaceX reserves the right to modify or terminate your employment to align with operational needs.
COMPENSATION AND BENEFITS:
Pay Range:
Level 3: $170,000.00 - $265,000.00
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.
Those with an active clearance will receive a 10% differential, up to an additional $20,000 annually, once officially briefed into a classified program.
ITAR REQUIREMENTS:
- To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.
See All 58 AI Engineer Jobs in District of Columbia
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Find AI Engineer JobsAI Engineer Jobs by City in District of Columbia
Where District of Columbia roles are concentrated, by current openings.
AI Engineer 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 engineer jobs across District of Columbia.
- Bachelor's or master's degree in computer science, AI, data science, or a related field
- Active security clearance or eligibility for federal background investigation often required
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience building and deploying models in cloud environments like AWS, Azure, or GCP
- Familiarity with responsible AI principles, model governance, and explainability practices
- Strong communication skills for presenting AI outputs to non-technical government stakeholders
AI Engineer Jobs in District of Columbia: Frequently Asked Questions
How do you become a ai engineer in District of Columbia?
There is no state-issued license required to work as an ai engineer in District of Columbia. Most employers in the region expect a bachelor's degree in computer science, mathematics, or a closely related field, with a master's degree preferred for senior roles. Because a large share of DC-area positions sit within federal contracting, obtaining or maintaining a security clearance is often the most critical credential. Building a portfolio of deployed models and contributing to open-source projects strengthens candidates without extensive industry experience.
Which companies hire ai engineers in District of Columbia?
District of Columbia ai engineer roles are posted by SpaceX, Booz Allen Hamilton, and Meta and others right now, based on current listings on Migrate Mate as of November 2026. The region's concentration of federal agencies and defense contractors means many openings come from systems integrators and consultancies serving government clients rather than consumer technology companies.
Which District of Columbia cities have the most ai engineer jobs?
Washington are the District of Columbia areas with the most ai engineer openings. Washington DC itself drives the largest share of demand through federal agencies, think tanks, and government-focused tech firms, while nearby Northern Virginia suburbs like McLean and Rosslyn anchor major defense contractor campuses that concentrate additional AI hiring outside the district's boundaries.
Are there remote ai engineer jobs in District of Columbia?
Yes, and more than many fields. About 88% of ai engineer openings tied to District of Columbia are remote or hybrid as of November 2026, reflecting how much of the work involves writing code, training models, and analyzing data rather than on-site operations. Roles that require access to classified systems or secure government facilities are the primary exception and tend to require in-person work.
How can I get hired as a ai engineer in District of Columbia with little or no experience?
The most realistic entry path in DC is through a federal contractor's associate or early-career analyst program, where candidates build AI skills on government-funded projects. Firms like Booz Allen Hamilton and Leidos run structured early-career hiring pipelines that consider candidates with internships, academic research projects, or strong capstone portfolios. Adjacent roles such as data analyst, machine learning research assistant, or junior software engineer are common lateral entry points. Earning a cloud certification from AWS or Google strengthens an application considerably in this market.
Where can I find and apply to ai engineer jobs in District of Columbia?
You can find and apply to ai engineer jobs in District of Columbia on Migrate Mate, which lists current District of Columbia openings. Search the available roles, find the ones that match your background and preferences, and apply directly to whichever positions fit.
See All 58 AI Engineer 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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