Lead AI Cloud Platform Engineer — Scale AI Workloads & RAG

02 CACI, INC.-FEDERAL; United States; On-site; USD 115,000 - 252,000; Full time

Job summary

02 CACI, INC.-FEDERAL is seeking an AI Cloud Platform Engineer to design, build, and scale intelligent systems across multi-cloud environments. You will bridge AI and robust cloud infrastructure, collaborating with data scientists, security teams, and developers to deploy secure AI workloads and scalable services for a large user base.

You will implement Retrieval-Augmented Generation pipelines, vector databases, and LLM security practices, using Terraform, Kubernetes, Docker, and Python to

Qualifications

• U.S. Citizenship required and ability to obtain DHS EOD Public Trust.
• 10+ years of cloud/infrastructure engineering experience.
• Hands-on cloud engineering with Azure, AWS, or GCP.
• Deep knowledge of RAG, vector databases, embeddings, and IR systems.
• Expert Terraform skills; production Kubernetes experience for AI/LLM workloads.
• Container experience (Docker) and CI/CD; Python scripting proficiency.

Responsibilities

• Design, implement, and support multi-cloud services using IaC tools.
• Build and maintain Retrieval-Augmented Generation pipelines and semantic search systems.
• Design data preprocessing workflows, chunking strategies, and vector DB infra.
• Automate with PowerShell, Python, Azure CLI, Logic Apps, and Functions.
• Configure security controls (NSGs, gateways) and cloud security practices.
• Manage compute, storage, networking, and DB services across clouds.
• Collaborate with data scientists and UI/UX teams to embed AI features.

Skills

RAG architecture

Vector databases

Embedding techniques

Information retrieval systems

Python scripting

Education

BS/BA + 15 years experience

Tools

Terraform

Kubernetes (AKS/EKS)

Docker

CI/CD

Azure CLI

Logic Apps

Azure Functions

PowerShell

Job description

02 CACI, INC.-FEDERAL is seeking an AI Cloud Platform Engineer to design, build, and scale intelligent systems across multi-cloud environments. You will bridge AI and robust cloud infrastructure, collaborating with data scientists, security teams, and developers to deploy secure AI workloads and scalable services for a large user base.

You will implement Retrieval-Augmented Generation pipelines, vector databases, and LLM security practices, using Terraform, Kubernetes, Docker, and Python to