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Ai In Government Jobs in California (NOW HIRING)

We are especially interested in candidates who are deeply fluent in the use of large language ... The successful candidate will contribute to multiple government-funded and institutional research ...

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Ai In Government information

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.

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.

What cities in California are hiring for Ai In Government jobs? Cities in California with the most Ai In Government job openings:
Infographic showing various Ai In Government job openings in California as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

AI Engineer- Federal Government Remote

United Global Technologies

Menlo Park, CA • Remote

$123K - $169K/yr

Full-time, Contractor

Re-posted 22 days ago


Job description

No subs- No sponsorship

Remote

AI Engineer (Mid–Senior)

United Global Technologies (UGT) | Remote (U.S.), | Full-time

UGT is hiring a mid-to-senior AI Engineer to design, build, and operate governed, production-grade AI capabilities across a multi-cloud environment (AWS Bedrock, Google Gemini for Government, and Microsoft Copilot) for a leading U.S. Department of Energy. You'll own data pipelines and AI control plane that make these capabilities secure, observable, and cost-governed — and mentor a junior engineer. This is a hands-on role at the center of the lab's emerging AI portfolio.

WHAT YOU'LL DO

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Build governed AI/RAG solutions across AWS Bedrock and Google Gemini (GCP for Government), integrating Microsoft Copilot for Microsoft-native datasets where appropriate.

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Operate the AI control plane (LightLLM) as the central hub for model access, monitoring, cost allocation, and governance, and extend it to additional model paths.

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Architect scalable data pipelines — aggregation, parsing, chunking, and assembly of source content into work packages that feed RAG and other AI systems.

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Advance the lab's AI work-planning and control system: ingest Environment, Safety & Health (ES&H) manuals, generate hazard identifications, orchestrate SME approval workflows, and produce formalized work packages.

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Enforce data governance: handle CUI/SPI appropriately and ensure AI activity logs aggregate into the enterprise SIEM.

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Own CI/CD and infrastructure-as-code for AI workloads using GitHub Actions and Terraform.

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Define usage policy for when teams access AI through the control plane vs. directly via platform services (e.g., Vertex AI).

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Mentor a junior AI engineer and help establish engineering conventions and onboarding standards.

WHAT WE'RE LOOKING FOR (REQUIRED)

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5+ years of professional software / AI engineering experience, with a strong Python foundation.

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Hands-on experience building LLM / RAG applications — retrieval, chunking strategies, prompt orchestration, and evaluation.

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Working knowledge of at least one major cloud AI platform: AWS Bedrock and/or Google Vertex AI / Gemini.

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Infrastructure-as-code (Terraform) and CI/CD (GitHub Actions or equivalent).

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Practical understanding of security and data governance, including handling of sensitive or controlled data.

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U.S. citizenship or permanent residency (supports a federal / DOE environment).

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Ability to provide consistent support during Pacific Time core business hours.

NICE TO HAVE (PREFERRED)

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Experience in a DOE, national laboratory, FedRAMP, or other regulated, compliance-driven environment.

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Familiarity with AI gateways / control planes such as LightLLM (or LiteLLM-style proxies) and multi-model governance.

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Experience using Microsoft Copilot for enterprise RAG use cases.

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Experience integrating application and AI logging into a SIEM.

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Comfort transforming unstructured documentation (technical manuals, procedures) into structured, retrievable knowledge.

EMPLOYMENT & ELIGIBILITY

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Full-time, salaried UGT employee placed on a long-term, dedicated client assignment (this is not a short-term or contract-to-hire role).

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Remote within the U.S.; occasional ad hoc onsite in the San Francisco Bay Area is helpful but not required.

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Must reliably support Pacific Time core business hours.

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U.S. citizenship or permanent residency required; works with CUI/SPI in a DOE environment (no classified or ITAR work).

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Government-furnished equipment provided for the engagement.

ABOUT UGT

United Global Technologies, Inc. (UGT) is a Charlotte, NC–based IT solutions firm serving public-sector, federal, and national-laboratory clients. UGT is a six-time Inc. 5000 honoree and holds WOSB, SBE, DBE, and MBE certifications, with long-standing relationships across the U.S. Department of Energy national laboratory system.