Senior AI Solutions Architect (Remote Opportunity)
Quick Summary
Lead the architecture, design, and implementation of enterprise AI solutions utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Design scalable, secure,
Lead the architecture, design, and implementation of enterprise AI solutions utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Design scalable, secure,
VetsEZ is seeking a Senior AI Solutions Architect to lead the design and implementation of enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA), with responsibility for AI architecture across the JLV contract. The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Search and Summarization initiative, delivering a secure, governed AI-assisted search and summarization MVP for development, clinical evaluation, and designated-user testing in an approved lower environment utilizing Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) within a secure AWS cloud environment.
Working closely with Government stakeholders, clinical subject matter experts, software engineers, cybersecurity teams, and DevSecOps personnel, this individual will establish the overall AI solution architecture while ensuring scalability, security, interoperability, Responsible AI, and compliance with Federal cybersecurity and AI governance requirements.
Responsibilities
~1 min read- →Strong understanding of enterprise architecture principles and cloud-native application design.
- →Experience balancing AI performance, scalability, security, explainability, and operational cost.
- →Excellent analytical, architectural, and problem-solving skills.
- →Strong written and verbal communication skills with the ability to communicate complex technical concepts to diverse audiences.
- →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 designing AI-enabled clinical workflow, search, summarization, or clinician-support solutions requiring human validation.
- →Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP, including applicable High-Impact AI requirements.
- →Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
- →AWS Solutions Architect, 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.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- July 23, 2026
- First seen
- September 28, 2026
- Last seen
- September 28, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 29%
- Scored at
- September 28, 2026
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