AI Cloud Platform Engineer

CACI International•Washington, DC

1d•$114,600 - $252,100•Remote

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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.