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Ai In Government Jobs in Washington, DC (NOW HIRING)

AI Architect

Washington, DC · On-site

$120 - $150/hr

Guide cloud-based AI deployments in GovCloud environments (AWS GovCloud, Azure Government). * Oversee MLOps pipelines with auditability, traceability, and compliance in mind. * Ensure data handling ...

New

AI Architect

Fairfax, VA · On-site

$62.50 - $82.50/hr

Candidates must have experience in government/sector and candidates who have current or recent ... AI Architect Contract Duration: 6 Month Contract to Hire Location: Fairfax, VA (4-5 days' on-site ...

Build AI-native workflows into contract management and compliance processes - replacing manual review wherever possible * Maintain government contract registration, reporting, and disclosures in ...

New

... in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The ... Head of Government Affairs About the Role Verkada is entering a transformative phase of growth in ...

Trusted Connectivity for AI-Powered Dominance. Everfox delivers trusted connectivity to protect the ... To be the most trusted authority in high-assurance cybersecurity, enabling secure collaboration ...

Trusted Connectivity for AI-Powered Dominance. Everfox delivers trusted connectivity to protect the ... To be the most trusted authority in high-assurance cybersecurity, enabling secure collaboration ...

This role is ideal for a technically strong engineer who understands how to stand up, assess, and guide modern AI platforms in secure government settings, with particular familiarity in cloud and ...

Monitor developments in government procurement law, cybersecurity regulation, AI governance, and public sector technology policy; proactively advise the business on emerging issues Operations ...

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Showing results 1-20

Ai In Government information

What is the difference between Ai In Government vs Data Analyst in Government?

AspectAi In GovernmentData Analyst in Government
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML toolsDegree in Statistics, Mathematics, or related fields; proficiency in data analysis software
Work EnvironmentDeveloping and implementing AI models within government agenciesAnalyzing government data sets to inform policy and decision-making
Employer & Industry UsagePrimarily in tech-focused government projects and agenciesAcross various government departments for data-driven insights

Ai In Government roles focus on creating and deploying AI solutions within government settings, requiring technical expertise in AI/ML. Data Analysts in Government interpret data to support policy and operational decisions. While both roles work within government, Ai In Government emphasizes AI development, whereas Data Analysts focus on data interpretation and reporting.

How is AI used in government work?

AI in government work involves automating administrative tasks, analyzing large data sets for policy development, and improving public services such as healthcare, transportation, and security. Government agencies often employ data analysis tools, machine learning algorithms, and natural language processing to enhance decision-making and operational efficiency.
Infographic showing various Ai In Government job openings in Washington, DC as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution.

AI Architect

Acuity, Inc.

Washington, DC • On-site

$120 - $150/hr

Other

Posted yesterday

New


Job description

Overview

Acuity is looking for an AI Architect that will lead the design, development, and implementation of secure, scalable artificial intelligence and machine learning solutions supporting U.S. federal agency missions. This role operates within highly regulated environments and requires deep expertise in cloud architecture, data governance, and compliance frameworks. The AI Architect will ensure all solutions meet federal security standards while delivering actionable intelligence and automation capabilities.

Responsibilities
  • Architect and implement AI/ML solutions aligned with federal mission objectives (e.g., defense, intelligence, civilian agencies).
  • Design secure AI systems compliant with federal frameworks such as NIST Risk Management Framework and FedRAMP.
  • Lead development of AI solutions in classified, controlled unclassified (CUI), or high-security environments.
  • Integrate AI/ML capabilities into existing enterprise architectures and legacy government systems.
  • Define AI governance, model risk management, and responsible AI practices in accordance with federal guidelines.
  • Collaborate with program managers, contracting officers, cybersecurity teams, and mission stakeholders.
  • Guide cloud-based AI deployments in GovCloud environments (AWS GovCloud, Azure Government).
  • Oversee MLOps pipelines with auditability, traceability, and compliance in mind.
  • Ensure data handling aligns with federal data privacy and security regulations.
  • Provide technical leadership across cross‑functional contractor and government teams.
  • Support proposal development, technical volumes, and solution architecture for new contract bids.
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • 8+ years of experience in software engineering, data engineering, or machine learning.
  • 3+ years of experience architecting AI/ML solutions in government or highly regulated environments.
  • Strong experience with secure system design and compliance‑driven architecture.
  • Proficiency in Python, Java, or similar languages.
  • Experience working in Agile and/or DevSecOps environments.
Technical Skills
  • AI/ML frameworks: TensorFlow, PyTorch, Scikit‑learn.
  • Experience with large language models (LLMs) and generative AI in secure environments.
  • Data platforms: Databricks, Spark, Hadoop (with secure configurations).
  • MLOps tools with compliance tracking (model versioning, lineage, explainability).
  • API and microservices architecture in zero‑trust environments.
  • Experience with containerization (Docker, Kubernetes) in secure clusters.
  • Knowledge of Zero Trust Architecture and secure data pipelines.
Regulatory & Domain Expertise
  • Strong familiarity with FISMA, NIST 800‑53, DoD 8570/8140, FedRAMP Moderate/High baselines.
  • Experience handling Controlled Unclassified Information (CUI) and classified data.
  • Understanding of Authority to Operate (ATO) processes.
Preferred Qualifications
  • Prior experience supporting agencies such as Department of Defense, Department of Homeland Security, or Intelligence Community organizations.
  • Experience with contract vehicles (e.g., GWACs, IDIQs) and federal procurement processes.
  • Background in mission areas such as cybersecurity, intelligence analysis, or logistics.
  • Experience contributing to technical proposals (RFP/RFQ responses).
  • Federal & Security Certifications:
    • CompTIA Security+ (often required for DoD roles).
    • Certified Information Systems Security Professional (CISSP).
    • Certified Cloud Security Professional (CCSP).
  • Cloud & AI Certifications:
    • AWS Certified Machine Learning – Specialty (GovCloud experience preferred).
    • Microsoft Certified: Azure AI Engineer Associate (Azure Government).
    • Google Professional Machine Learning Engineer.
  • Architecture Certifications:
    • TOGAF.
    • AWS/Azure/GCP Solutions Architect certifications.
Clearance Requirement

Active security clearance (Secret or Top Secret; TS/SCI clearance preferred) or eligibility to obtain one.

Acuity is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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