Senior AI Application Engineer (Remote Opportunity)

VetsEZ is seeking a Senior AI Application Engineer to design, develop, and implement enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA). The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Summarization initiative, delivering a secure, governed AI-assisted search and summarization capability within an approved test environment utilizing Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Amazon Bedrock, while supporting clinical evaluation and future production readiness. Working closely with AI Solution Architects, Product Owners, cybersecurity teams, DevSecOps engineers, and clinical stakeholders, this individual will develop secure, scalable, and maintainable AI-powered applications that integrate seamlessly with existing enterprise healthcare systems while ensuring compliance with Federal security, privacy, and AI governance requirements. Responsibilities: Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Develop AI-assisted search, summarization, and question-answering capabilities using Amazon Bedrock. Build reusable AI services supporting prompt orchestration, document retrieval, and response generation. Implement prompt engineering and source-grounding strategies to improve AI accuracy, consistency, traceability, and clinical relevance, including source links that support human verification. Optimize AI performance while balancing response quality, latency, and operational cost. Design and develop secure, scalable cloud-native applications utilizing modern software engineering practices. Develop RESTful APIs and backend services supporting AI capabilities and enterprise integrations. Implement approved document retrieval, vector search, and semantic search capabilities within the selected patient context and CHSD document set. Develop automated unit, integration, and functional t