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Remote Federal Government Cdl Jobs (NOW HIRING)

Amwell

Sr. Counsel, Government & Commercial

OR · Remote

$139K - $189K/yr

The heart of this role is federal commercial contracting and compliance-you'll be our go-to person ... Experience drafting and negotiating a range of agreements (technology, SaaS, software licensing ...

Amwell

Sr. Counsel, Government & Commercial

$142K - $194K/yr

The heart of this role is federal commercial contracting and compliance-you'll be our go-to person ... licensing, clinical services, professional services, business associate, reseller, and data ...

SpaceX

Government Affairs Manager (Federal)

Washington, DC · On-site +1

$110K - $145K/yr

GOVERNMENT AFFAIRS MANAGER (FEDERAL) As a member of the SpaceX Government Affairs team, you will ... This position is based in Washington, DC and requires being onsite - remote work not considered ...

Raymond

Federal Project Manager

Conyers, GA · On-site +1

... commercial, K-12, state/local government) and we're always expanding our extensive project ... Valid Driver's License Education or Skills: * Bachelor's Degree, required * PE, RA or PMP, required

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As of Aug 8, 2026, the average weekly pay for remote federal government cdl in the United States is $1,444.35, according to ZipRecruiter salary data. Most workers in this role earn between $1,250.00 and $1,625.00 per week, depending on experience, location, and employer.
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Remote Federal Government Cdl jobs near you

AI Engineer- Federal Government Remote

United Global Technologies

Menlo Park, CA • Remote

$123K - $169K/yr

Full-time, Contractor

Re-posted 20 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.