Artificial Intelligence & Cloud Engineer

CACI International•Norfolk, VA

3d•$98,500 - $206,800•Onsite

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 40,000 users. The ideal candidate is a self-motivated technical leader who thrives in agile environments and adapts quickly to emerging AI technologies.

Requirements

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.
Proven experience building multi-agent systems using frameworks like LangGraph, AutoGen, or equivalent tools.
Deep understanding of RAG architecture, vector databases, embedding techniques, and information retrieval systems.
Strong programming proficiency in a programing language similar to Python, and experience building robust RESTful APIs.
Hands-on experience deploying and managing cloud services within AWS or OCI.
Proficiency working with Linux operating systems and command-line interfaces.
Expertise in text analytics, prompt engineering, data normalization, and cleaning techniques.
Active Secret Security Clearance.
Current CompTIA SEC+ Certificate, or higher.
Experience proven knowledge of security best practices for AI systems, including model guardrails and secure data handling.
Experience working in an Agile development environment across cross-functional teams.
Strong problem-solving abilities and a track record of rapidly learning and adopting emerging AI disciplines.

Nice To Haves

Experience with NAVSEA Cyber RMF Processes and System Security Hardening.
Familiarity with secondary languages such as Rust, Go, or JavaScript for system optimization.
Relevant industry recognized Cloud certifications, such as AWS Certified Machine Learning – Specialty or OCI AI credentials.
Experience with open-source LLM evaluation and observability frameworks.

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.