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
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Architect and implement scalable multi-agent AI systems.
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Develop advanced routing and hierarchical multi-agent architectures.
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Build, optimize, and maintain production-grade Retrieval-Augmented Generation (RAG) pipelines.
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Develop semantic search and information retrieval systems.
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Design data preprocessing workflows, chunking strategies, and vector database infrastructure.
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Deploy, secure, monitor, and maintain AI applications and microservices in cloud environments.
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Integrate AI capabilities into user-facing products.
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Collaborate with data scientists, UI/UX designers, and subject matter experts.
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Establish security best practices for large language model implementations.
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Protect sensitive information through secure data handling and privacy controls.
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Implement AI model guardrails and other AI security measures.
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Develop robust RESTful APIs supporting AI and cloud applications.
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Support Linux-based development and cloud environments.
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Apply text analytics, prompt engineering, data normalization, and data-cleaning techniques.
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Support cybersecurity risk management and system hardening activities.
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Evaluate and adopt emerging AI technologies and engineering practices.
Required Qualifications
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Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
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7+ years of professional software engineering experience.
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At least 2 years of production experience in AI, ML, or NLP development.
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Experience building multi-agent systems using LangGraph, AutoGen, or equivalent frameworks.
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Strong understanding of RAG architecture, vector databases, embeddings, and information retrieval.
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Strong programming skills in Python or a similar programming language.
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Experience developing RESTful APIs.
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Hands-on experience deploying and managing AWS or OCI cloud services.
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Proficiency with Linux operating systems and command-line interfaces.
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Expertise in text analytics and prompt engineering.
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Experience with data normalization and cleaning.
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Active Secret security clearance.
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Current CompTIA Security+ certification or higher.
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Knowledge of AI security practices, model guardrails, and secure data handling.
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Experience working in Agile and cross-functional development environments.
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Strong problem-solving skills and ability to learn emerging AI technologies quickly.
Preferred Qualifications
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Experience with NAVSEA Cyber RMF processes and system security hardening.
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Familiarity with Rust, Go, or JavaScript.
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Industry-recognized cloud certifications, such as AWS Certified Machine Learning – Specialty or OCI AI credentials.
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Experience with open-source LLM evaluation and observability frameworks.