AI/ML Engineer

To support mission workflows, the full-time AI/ML Engineer will design, build, integrate, and deploy AI and machine learning capabilities in secure government cloud environments while working remotely. Key responsibilities Build and integrate AI/ML capabilities using FedRAMP-authorized services in AWS GovCloud, spanning the entire AI/ML lifecycle Develop production-quality AI/ML applications and services using Python, ensuring alignment with mission and business requirements Design and implement Generative AI and Retrieval-Augmented Generation patterns, integrating them with enterprise applications and mission data sources Required qualifications Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Information Systems, or a related technical discipline Experience with Generative AI, foundation models, and RAG architectures Experience with supervised or unsupervised machine learning, feature engineering, model training, and model selection Familiarity with MLOps or LLMOps practices for model and application lifecycle management Experience deploying containerized workloads and microservices in security-sensitive environments