Senior AI Cloud Platform Engineer

CACI; Washington (District of Columbia); On-site; USD 115,000 - 252,000; Full time

Job summary

CACI is seeking an AI Cloud Platform Engineer to design, build, and scale intelligent systems across multi-cloud environments. You will bridge AI with robust cloud infrastructure to architect complex workflows and secure AI deployments for a user base approaching 300,000.

The role emphasizes hands-on cloud engineering, RAG architectures, and retrieval systems, with collaboration across data scientists and product teams. Strong security, agile mindset, and leadership are essential.

Qualifications

• 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

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.

Skills

RAG architecture

information retrieval

Python scripting

cloud engineering

security best practices

Education

BS/BA + years of experience as equivalent

MS + 12 Years of experience or higher

Tools

Terraform

AKS/EKS

Docker

CI/CD

Azure CLI

PowerShell

Job description

CACI is seeking an AI Cloud Platform Engineer to design, build, and scale intelligent systems across multi-cloud environments. You will bridge AI with robust cloud infrastructure to architect complex workflows and secure AI deployments for a user base approaching 300,000.

The role emphasizes hands-on cloud engineering, RAG architectures, and retrieval systems, with collaboration across data scientists and product teams. Strong security, agile mindset, and leadership are essential.