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# AI Cloud Platform Engineer

- **Company:** CACI International Inc.
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $114,600.0 - $252,100.0
- **Contract:** Permanent contract
- **Skills:** Adobe Analytics, Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cloud Engineering, Encodings, Continuous Integration, Data Cleansing, Data Infrastructure, Design of User Interfaces, Information Retrieval, Python (Programming Language), Network Security, Windows PowerShell, Smartsuite, Security Software, Scripting, Google Cloud, Cloud Platform System, Microsoft Power Automate, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Software Security, Multi-Cloud, Azure Powershell, Kubernetes, Infrastructure Automation Frameworks, Terraform, Serverless Computing, Docker
- **Published:** October 23, 2026
- **Apply:** https://www.dcjobsite.com/job.asp?id=3466647348&tx=YT1212TYD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

We are seeking an AI and Cloud Engineer to design, build, and scale our next-generation intelligent systems. In this role, you will bridge the gap between advanced artificial intelligence and robust cloud infrastructure. You will be part of a team responsible for architecting complex multi-agent flows, implementing enterprise-grade retrieval systems, and ensuring the secure deployment of AI workloads in cloud in systems that will grow to serve approximately 300,000 users. The ideal candidate is a self-motivated technical leader who thrives in agile environments and adapts quickly to emerging AI technologies., Required:

 * U.S. Citizenship required
 * Ability to obtain DHS EOD Public Trust
 * BS/BA + 15 years or equivalency (AA + 17 years of experience, MS + 12 Years of experience or no degree + 21 years of experience)
 * 10+ years of experience in cloud/infrastructure engineering
 * Extensive hands-on cloud engineering experience in one or more of Azure, AWS, GCP
 * Deep understanding of RAG architecture, vector databases, embedding techniques, and information retrieval systems.
 * Expert Terraform skills; proven experience managing infrastructure with infrastructure as code
 * Experience operating production Kubernetes clusters (AKS/EKS) supporting AI/LLM workloads.
 * Experience with containers (Docker) and CI/CD.
 * Python scripting/programming abilities

Desired:

 * Active Secret security clearance
 * Previous DHS or DoD experience
 * Experience with CSAM, RegScale, eMASS, or similar GRC tools
 * Experience supporting emergency operations or disaster response missions
 * Knowledge of cloud security and FedRAMP authorization processes
 * Experience with continuous monitoring and automated security tools
 * Strong communication skills for presenting to senior leadership

## Description

* Design, implement, and support multi cloud services using Infrastructure as Code tools such as Terraform, ARM templates, or similar technologies.
 * Build, optimize, and maintain production-grade Retrieval-Augmented Generation pipelines and semantic search systems.
 * Design and manage data preprocessing workflows, chunking strategies, and vector database infrastructure.
 * Build and maintain automation using PowerShell, Python, Azure CLI, Logic Apps, and Azure Functions.
 * Configure and tune network security groups (NSGs), application gateways, and other protective cloud controls.
 * Manage compute, storage, networking, and database services across cloud environments while ensuring adherence to security and compliance frameworks.
 * Collaborate closely with data scientists, UI/UX designers, and subject matter experts to integrate AI features into user-facing products.
 * Establish and enforce security best practices for large language model implementations and data privacy.