AI Engineer Google Cloud Platform for Federal Government
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
- Build governed AI/RAG solutions across AWS Bedrock and Google Gemini (Google Cloud Platform for Government), integrating Microsoft Copilot for Microsoft-native datasets where appropriate.
- 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.
- Architect scalable data pipelines — aggregation, parsing, chunking, and assembly of source content into work packages that feed RAG and other AI systems.
- 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.
- Enforce data governance: handle CUI/SPI appropriately and ensure AI activity logs aggregate into the enterprise SIEM.
- Own CI/CD and infrastructure-as-code for AI workloads using GitHub Actions and Terraform.
- Define usage policy for when teams access AI through the control plane vs. directly via platform services (e.g., Vertex AI).
- Mentor a junior AI engineer and help establish engineering conventions and onboarding standards.
WHAT WE''RE LOOKING FOR (REQUIRED)
- 5+ years of professional software / AI engineering experience, with a strong Python foundation.
- Hands-on experience building LLM / RAG applications — retrieval, chunking strategies, prompt orchestration, and evaluation.
- Working knowledge of at least one major cloud AI platform: AWS Bedrock and/or Google Vertex AI / Gemini.
- Infrastructure-as-code (Terraform) and CI/CD (GitHub Actions or equivalent).
- Practical understanding of security and data governance, including handling of sensitive or controlled data.
- U.S. citizenship or permanent residency (supports a federal / DOE environment).
- Ability to provide consistent support during Pacific Time core business hours.
NICE TO HAVE (PREFERRED)
- Experience in a DOE, national laboratory, FedRAMP, or other regulated, compliance-driven environment.
- Familiarity with AI gateways / control planes such as LightLLM (or LiteLLM-style proxies) and multi-model governance.
- Experience using Microsoft Copilot for enterprise RAG use cases.
- Experience integrating application and AI logging into a SIEM.
- Comfort transforming unstructured documentation (technical manuals, procedures) into structured, retrievable knowledge.
EMPLOYMENT & ELIGIBILITY
- Full-time, salaried UGT employee placed on a long-term, dedicated client assignment (this is not a short-term or contract-to-hire role).
- Remote within the U.S.; occasional ad hoc onsite in the San Francisco Bay Area is helpful but not required.
- Must reliably support Pacific Time core business hours.
- U.S. citizenship or permanent residency required; works with CUI/SPI in a DOE environment (no classified or ITAR work).
- 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.
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
- Build governed AI/RAG solutions across AWS Bedrock and Google Gemini (Google Cloud Platform for Government), integrating Microsoft Copilot for Microsoft-native datasets where appropriate.
- 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.
- Architect scalable data pipelines — aggregation, parsing, chunking, and assembly of source content into work packages that feed RAG and other AI systems.
- 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.
- Enforce data governance: handle CUI/SPI appropriately and ensure AI activity logs aggregate into the enterprise SIEM.
- Own CI/CD and infrastructure-as-code for AI workloads using GitHub Actions and Terraform.
- Define usage policy for when teams access AI through the control plane vs. directly via platform services (e.g., Vertex AI).
- Mentor a junior AI engineer and help establish engineering conventions and onboarding standards.
WHAT WE''RE LOOKING FOR (REQUIRED)
- 5+ years of professional software / AI engineering experience, with a strong Python foundation.
- Hands-on experience building LLM / RAG applications — retrieval, chunking strategies, prompt orchestration, and evaluation.
- Working knowledge of at least one major cloud AI platform: AWS Bedrock and/or Google Vertex AI / Gemini.
- Infrastructure-as-code (Terraform) and CI/CD (GitHub Actions or equivalent).
- Practical understanding of security and data governance, including handling of sensitive or controlled data.
- U.S. citizenship or permanent residency (supports a federal / DOE environment).
- Ability to provide consistent support during Pacific Time core business hours.
NICE TO HAVE (PREFERRED)
- Experience in a DOE, national laboratory, FedRAMP, or other regulated, compliance-driven environment.
- Familiarity with AI gateways / control planes such as LightLLM (or LiteLLM-style proxies) and multi-model governance.
- Experience using Microsoft Copilot for enterprise RAG use cases.
- Experience integrating application and AI logging into a SIEM.
- Comfort transforming unstructured documentation (technical manuals, procedures) into structured, retrievable knowledge.
EMPLOYMENT & ELIGIBILITY
- Full-time, salaried UGT employee placed on a long-term, dedicated client assignment (this is not a short-term or contract-to-hire role).
- Remote within the U.S.; occasional ad hoc onsite in the San Francisco Bay Area is helpful but not required.
- Must reliably support Pacific Time core business hours.
- U.S. citizenship or permanent residency required; works with CUI/SPI in a DOE environment (no classified or ITAR work).
- 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.