Artificial Intelligence & Cloud Engineer
Vets Hired•Norfolk, VA
•Onsite
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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.
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.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
