Cloud AI Engineer — Secure, Scalable Multi-Agent Systems

CACI International Inc

Norfolk (VA)

On-site

USD 98,500 - 206,800

Full time

14 days+

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Job summary

CACI International Inc is seeking an AI and Cloud Engineer to design, build, and scale next-generation intelligent systems bridging AI and cloud infrastructure. You will architect multi-agent flows, implement RAG pipelines, and ensure secure AI deployments serving thousands of users.

The role requires 7+ years of software engineering with AI/NLP experience, active Secret clearance, and strong cloud skills in AWS or OCI, Linux, and RESTful services, in an Agile team environment.

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • 7+ years of professional software engineering experience, with at least 2 years dedicated to production AI, ML, or NLP development.

Responsibilities

  • Architect and implement scalable multi-agent systems using advanced routing and hierarchical design patterns.
  • 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.
  • Deploy, secure, and monitor AI applications and microservices within cloud environments.
  • 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

Python-like programming
Agile development
Problem solving
RESTful APIs

Education

Bachelor's degree in CS/Software Engineering

Tools

LangGraph
AutoGen
Vector databases
Embedding techniques
AWS
OCI
Linux CLI

Job description

CACI International Inc is seeking an AI and Cloud Engineer to design, build, and scale next-generation intelligent systems bridging AI and cloud infrastructure. You will architect multi-agent flows, implement RAG pipelines, and ensure secure AI deployments serving thousands of users.

The role requires 7+ years of software engineering with AI/NLP experience, active Secret clearance, and strong cloud skills in AWS or OCI, Linux, and RESTful services, in an Agile team environment.

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