Artificial Intelligence & Cloud Engineer

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.

• 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.

• Bachelors 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.

• 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.