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Artificial Intelligence & Cloud Engineer

Vets Hired
4 days ago
Full-time
On-site
Norfolk, Virginia, United States
Artificial Intelligence

Job Summary

The Artificial Intelligence & Cloud Engineer designs, builds, secures, and scales AI-powered systems within cloud environments. The role combines artificial intelligence, machine learning, cloud engineering, software development, retrieval systems, multi-agent architectures, vector databases, and secure AI deployment. The engineer will develop production-grade AI applications and microservices while collaborating with data scientists, designers, and subject matter experts in an Agile environment.

Key Responsibilities

  • Architect and implement scalable multi-agent AI systems.
  • Develop advanced routing and hierarchical multi-agent architectures.
  • Build, optimize, and maintain production-grade Retrieval-Augmented Generation (RAG) pipelines.
  • Develop semantic search and information retrieval systems.
  • Design data preprocessing workflows, chunking strategies, and vector database infrastructure.
  • Deploy, secure, monitor, and maintain AI applications and microservices in cloud environments.
  • Integrate AI capabilities into user-facing products.
  • Collaborate with data scientists, UI/UX designers, and subject matter experts.
  • Establish security best practices for large language model implementations.
  • Protect sensitive information through secure data handling and privacy controls.
  • Implement AI model guardrails and other AI security measures.
  • Develop robust RESTful APIs supporting AI and cloud applications.
  • Support Linux-based development and cloud environments.
  • Apply text analytics, prompt engineering, data normalization, and data-cleaning techniques.
  • Support cybersecurity risk management and system hardening activities.
  • Evaluate and adopt emerging AI technologies and engineering practices.

Required Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • 7+ years of professional software engineering experience.
  • At least 2 years of production experience in AI, ML, or NLP development.
  • Experience building multi-agent systems using LangGraph, AutoGen, or equivalent frameworks.
  • Strong understanding of RAG architecture, vector databases, embeddings, and information retrieval.
  • Strong programming skills in Python or a similar programming language.
  • Experience developing RESTful APIs.
  • Hands-on experience deploying and managing AWS or OCI cloud services.
  • Proficiency with Linux operating systems and command-line interfaces.
  • Expertise in text analytics and prompt engineering.
  • Experience with data normalization and cleaning.
  • Active Secret security clearance.
  • Current CompTIA Security+ certification or higher.
  • Knowledge of AI security practices, model guardrails, and secure data handling.
  • Experience working in Agile and cross-functional development environments.
  • Strong problem-solving skills and ability to learn emerging AI technologies quickly.

Preferred Qualifications

  • Experience with NAVSEA Cyber RMF processes and system security hardening.
  • Familiarity with Rust, Go, or JavaScript.
  • Industry-recognized cloud certifications, such as AWS Certified Machine Learning – Specialty or OCI AI credentials.
  • Experience with open-source LLM evaluation and observability frameworks.

Working Place:

Norfolk, Virginia, United States

Company :

2026 Sept 10th Cyber - CACI