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# AI Cloud Platform Engineer

- **Company:** CACI International Inc.
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Adobe Analytics, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Encodings, Computer Programming, Continuous Integration, Data Infrastructure, Design of User Interfaces, Information Retrieval, Python (Programming Language), Network Security, Windows PowerShell, Scripting, Cloud Platform System, Microsoft Power Automate, Large Language Models, Multi-Cloud, Azure Powershell, Generative AI, Kubernetes, Infrastructure Automation Frameworks, Terraform, Serverless Computing, Docker
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/ai-cloud-platform-engineer-washington-dc-usa-58914474

## About the Role

settings and tune network security groups, application gateways, and other protective cloud controls * Manage compute, storage, networking, and database services across cloud environments with security/compliance * Collaborate with data scientists, UI/UX designers, and SMEs to integrate AI features into user-facing products * Establish and enforce security best practices for large language model implementations and data privacy Tasks * U.S. Citizenship * Ability to obtain DHS EOD Public Trust * BS/BA + 15 years or equivalency (AA + 17 years, MS + 12 years, or no degree + 21 years) * 10+ years of cloud/infrastructure engineering experience * Extensive hands-on cloud engineering experience in Azure, AWS, or GCP * Deep understanding of RAG architecture, vector databases, embedding techniques, and information retrieval systems * Expert Terraform skills with IaC experience * Experience operating production Kubernetes clusters (AKS/EKS) for AI/LLM workloads * Experience with containers aaa
BS/BA and CI/CD * Python scripting/programming abilities Key requirements * flexible time off * robust learning resources * competitive compensation * healthcare and wellness benefits * retirement plans * time off benefits

## Description

Experteer Overview In this role you design, build, and scale intelligent systems across multi-cloud environments, bridging AI workloads with robust cloud infrastructure. You work with cross-functional teams to integrate AI features into user-focused products while upholding security and compliance. You'll tackle scalable RAG pipelines, vector databases, and secure cloud deployments for a large user base. This opportunity suits a technical leader who thrives in agile settings and cares about mission-driven impact. Compensation / Benefits * Design, implement, and support multi-cloud services using Infrastructure as Code tools (Terraform, ARM templates, etc.) * Build, optimize, and maintain production-grade Retrieval-Augmented Generation (RAG) pipelines and semantic search systems * Design and manage data preprocessing workflows, chunking strategies, and vector database infrastructure * Build and maintain automation with PowerShell, Python, Azure CLI, Logic Apps, and Azure Functions * Configure and tune network security groups, application gateways, and other protective cloud controls * Manage compute, storage, networking, and database services across cloud environments with security/compliance * Collaborate with data scientists, UI/UX designers, and SMEs to integrate AI features into user-facing products * Establish and enforce security best practices for large language model implementations and data privacy Tasks * U.S. Citizenship * Ability to obtain DHS EOD Public Trust * BS/BA + 15 years or equivalency (AA + 17 years, MS + 12 years, or no degree + 21 years) * 10+ years of cloud/infrastructure engineering experience * Extensive hands-on cloud engineering experience in Azure, AWS, or GCP * Deep understanding of RAG architecture, vector databases, embedding techniques, and information retrieval systems * Expert Terraform skills with IaC experience * Experience operating production Kubernetes clusters (AKS/EKS) for AI/LLM workloads * Experience with containers (Docker) and CI/CD * Python scripting/programming abilities Key requirements * flexible time off * robust learning resources * competitive compensation * healthcare and wellness benefits * retirement plans * time off benefits


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