Senior AI Application Engineer (Remote Opportunity)

US·DallasRemotesenior

OtherAi Application Engineer

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Quick Summary

Key Responsibilities

Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Develop AI-assisted search, summarization,

Requirements Summary

Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Develop AI-assisted search, summarization,

Technical Tools

OtherAi Application Engineer

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

~1 min read

→Strong understanding of modern software engineering principles and cloud-native application development.
→Experience developing scalable, secure, and maintainable enterprise applications.
→Excellent analytical, troubleshooting, and problem-solving skills.
→Strong written and verbal communication skills with the ability to collaborate across multidisciplinary engineering teams.
→Ability to obtain and maintain a Government Public Trust clearance.
→Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.
→Experience developing AI-enabled clinical workflow, information-retrieval, or clinician-support applications requiring human validation.
→Experience implementing vector search, embeddings, semantic search, and prompt orchestration.
→Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP.
→Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
→AWS Developer, AWS AI, Machine Learning, or other AWS cloud certifications are highly desirable.

Requirements

~1 min read

U.S. Citizenship is required.
All selected candidates must successfully complete a background check.
Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.