AI Intern Jobs in District of Columbia
AI Intern jobs in District of Columbia draw consistent demand from the federal government, defense contractors, and the policy-focused think tanks and nonprofit research organizations that anchor the region's knowledge economy. Most openings concentrate in Washington, D.C. itself, with additional activity in nearby Arlington and Bethesda, where employers like Booz Allen Hamilton, Leidos, and the Brookings Institution regularly bring on ai interns across machine learning, natural language processing, and data analytics. Roles range from undergraduate research placements to graduate-level project internships tied to federal contracts. Scan the live roles below and apply to whichever ones fit.
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See related jobsREQUIRES AN ACTIVE/EXISTING TS/SCI WITH CI POLYGRAPH
Location: Charleston, SC or National Capital Region
Position Overview
DAn Solutions is seeking an experienced Artificial Intelligence Engineer to design, develop, and deploy secure AI systems integrating foundation models with enterprise tools, data sources, and mission services.
The ideal candidate will have hands-on experience developing production-grade agentic AI architectures, advanced retrieval systems, and stateful orchestration workflows within secure enterprise environments.
This position requires a strong understanding of AI engineering, distributed systems, identity-based access controls, and operational reliability.
Key Responsibilities
Design and implement secure, modular agentic AI architectures.
Integrate foundation models with enterprise tools and services using the Model Context Protocol (MCP).
Develop stateful agent workflows using LangGraph, CrewAI, Claude Agent SDK, or comparable frameworks.
Build advanced retrieval systems using GraphRAG, agentic routing, and Corrective RAG.
Develop context management, memory, and session persistence architectures.
Implement access controls that enforce user permissions and enterprise security requirements.
Integrate JSON Schema, Protocol Buffers, and identity-based authorization into AI tool execution.
Develop runtime safeguards to prevent runaway agent execution and cascading failures.
Implement retry logic, token and cost controls, and deterministic termination conditions.
Design Human-in-the-Loop approval workflows for sensitive or high-consequence actions.
Support reliable deployment and operation of secure AI systems.
Required Qualifications
Active TS/SCI clearance with the ability to obtain a CI Polygraph.
Bachelor's degree in Cybersecurity, Computer Engineering, Electrical Engineering, Mathematics, or a related technical discipline, or equivalent qualifications.
At least 5 years of relevant professional experience.
Hands-on production experience with MCP server/client implementations and agent orchestration frameworks.
Experience with LangGraph, CrewAI, and Claude Agent SDK.
Demonstrated experience developing GraphRAG, dynamic query routing, and advanced retrieval pipelines.
Strong understanding of context compression, state management, and session persistence.
Experience using JSON Schema and Protocol Buffers.
Experience integrating IAM tokens, claims, and access controls into AI systems.
Experience designing reliable distributed systems with retry controls, execution limits, and recovery mechanisms.
Experience implementing Human-in-the-Loop approval and execution workflows.
Ability to work full-time on-site at a government facility.
Preferred Qualifications
Master's degree in a related technical discipline.
Experience evaluating agent behavior and implementing observability tools such as OpenTelemetry, LangSmith, or Arize Phoenix.
Experience with automated red-teaming and security testing for AI systems.
Background deploying AI systems in highly regulated or mission-critical environments.
Strong Python, TypeScript, or Go programming skills.
Experience developing high-performance MCP servers and custom orchestration runtimes.
Work Location
Full-time, on-site support at a government facility in Charleston, SC or the National Capital Region.
Salary Range Disclaimer:The posted salary range represents the good-faith minimum and maximum compensation DAn Solutions expects to pay for this position. The position may be filled at different Labor Category (LCAT) levels depending on the selected candidate's qualifications and applicable contract requirements. Final compensation within the posted range will be determined based on the applicable LCAT and factors including education, relevant experience, certifications, and other required qualifications
REQUIRES AN ACTIVE/EXISTING TS/SCI WITH CI POLYGRAPH
Location: Charleston, SC or National Capital Region
Position Overview
DAn Solutions is seeking an experienced Artificial Intelligence Engineer to design, develop, and deploy secure AI systems integrating foundation models with enterprise tools, data sources, and mission services.
The ideal candidate will have hands-on experience developing production-grade agentic AI architectures, advanced retrieval systems, and stateful orchestration workflows within secure enterprise environments.
This position requires a strong understanding of AI engineering, distributed systems, identity-based access controls, and operational reliability.
Key Responsibilities
Design and implement secure, modular agentic AI architectures.
Integrate foundation models with enterprise tools and services using the Model Context Protocol (MCP).
Develop stateful agent workflows using LangGraph, CrewAI, Claude Agent SDK, or comparable frameworks.
Build advanced retrieval systems using GraphRAG, agentic routing, and Corrective RAG.
Develop context management, memory, and session persistence architectures.
Implement access controls that enforce user permissions and enterprise security requirements.
Integrate JSON Schema, Protocol Buffers, and identity-based authorization into AI tool execution.
Develop runtime safeguards to prevent runaway agent execution and cascading failures.
Implement retry logic, token and cost controls, and deterministic termination conditions.
Design Human-in-the-Loop approval workflows for sensitive or high-consequence actions.
Support reliable deployment and operation of secure AI systems.
Required Qualifications
Active TS/SCI clearance with the ability to obtain a CI Polygraph.
Bachelor's degree in Cybersecurity, Computer Engineering, Electrical Engineering, Mathematics, or a related technical discipline, or equivalent qualifications.
At least 5 years of relevant professional experience.
Hands-on production experience with MCP server/client implementations and agent orchestration frameworks.
Experience with LangGraph, CrewAI, and Claude Agent SDK.
Demonstrated experience developing GraphRAG, dynamic query routing, and advanced retrieval pipelines.
Strong understanding of context compression, state management, and session persistence.
Experience using JSON Schema and Protocol Buffers.
Experience integrating IAM tokens, claims, and access controls into AI systems.
Experience designing reliable distributed systems with retry controls, execution limits, and recovery mechanisms.
Experience implementing Human-in-the-Loop approval and execution workflows.
Ability to work full-time on-site at a government facility.
Preferred Qualifications
Master's degree in a related technical discipline.
Experience evaluating agent behavior and implementing observability tools such as OpenTelemetry, LangSmith, or Arize Phoenix.
Experience with automated red-teaming and security testing for AI systems.
Background deploying AI systems in highly regulated or mission-critical environments.
Strong Python, TypeScript, or Go programming skills.
Experience developing high-performance MCP servers and custom orchestration runtimes.
Work Location
Full-time, on-site support at a government facility in Charleston, SC or the National Capital Region.
Salary Range Disclaimer:The posted salary range represents the good-faith minimum and maximum compensation DAn Solutions expects to pay for this position. The position may be filled at different Labor Category (LCAT) levels depending on the selected candidate's qualifications and applicable contract requirements. Final compensation within the posted range will be determined based on the applicable LCAT and factors including education, relevant experience, certifications, and other required qualifications
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Where District of Columbia roles are concentrated, by current openings.
AI Intern 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 intern jobs across District of Columbia.
- Currently enrolled in a bachelor's or master's degree program in computer science or related field
- Demonstrated proficiency in Python and at least one machine learning framework such as TensorFlow or PyTorch
- Experience with data wrangling, statistical analysis, and model evaluation using real datasets
- Familiarity with natural language processing, computer vision, or large language model applications
- Ability to obtain a federal security clearance or pass a background check for government-adjacent roles
- Strong written and verbal communication skills for presenting findings to technical and nontechnical stakeholders
AI Intern Jobs in District of Columbia: Frequently Asked Questions
How do you become a ai intern in District of Columbia?
The path to an ai intern role in D.C. runs through enrollment in a relevant degree program, a strong technical portfolio, and awareness of the federal contracting environment. D.C. has no state-issued license for AI work, but many positions require eligibility for a federal security clearance, which means a clean background and U.S. person status. Candidates who complete coursework in machine learning or data science and can show applied project work are the most competitive for the region's government and policy-sector openings.
Which companies hire ai interns in District of Columbia?
Employers hiring ai interns in District of Columbia right now include PHRMA, MANTECH, and WilmerHale, based on current listings on Migrate Mate as of November 2026. The D.C. market skews heavily toward federal contractors, defense agencies, and research institutions, so many internships carry project work tied to government missions or national-security applications.
Which District of Columbia cities have the most ai intern jobs?
The cities with the most ai intern openings in District of Columbia are Washington. Washington, D.C. dominates because federal agencies, major contractors like Booz Allen Hamilton and Leidos, and dense clusters of think tanks and advocacy organizations all concentrate there, while Arlington and Bethesda generate volume through defense-adjacent headquarters and research campuses located just outside the District.
Are there remote ai intern jobs in District of Columbia?
Yes, and more than many fields, since ai intern work is largely analytical and code-based rather than tied to physical equipment. About 50% of ai intern openings tied to District of Columbia are remote or hybrid as of November 2026, though roles connected to classified federal contracts typically require on-site or hybrid presence. Modeling, research, and data-pipeline work are the sub-areas most likely to be offered fully remote.
How can I get hired as a ai intern in District of Columbia with little or no experience?
The most realistic entry path for candidates without prior ai intern experience is a structured internship through a federal contractor's university recruiting program. Firms like Booz Allen Hamilton, MITRE, and Leidos run formal intern cohorts each summer that are specifically designed for students who have coursework but limited professional experience. Building a public project portfolio on GitHub, contributing to open-source NLP or computer vision work, and applying through D.C.-area university career centers that have existing employer relationships all improve candidacy significantly.
Where can I find and apply to ai intern jobs in District of Columbia?
You can find and apply to ai intern jobs in District of Columbia on Migrate Mate, which lists current openings in the region. Search the available roles, identify the ones that match your skills and availability, and apply directly through each listing. No profile creation is required to see or act on the openings.
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