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.