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.