Senior AI Solutions Architect (Remote Opportunity)

Veterans EZ Info Inc; Charleston (SC); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical insurance

401(k) with company match

Remote opportunity

Professional development

Job summary

Veterans EZ Info Inc. seeks a Senior AI Solutions Architect to lead design and implementation of enterprise AI solutions for the Department of Veterans Affairs, focusing on the JLV contract.

The role involves AWS Bedrock, RAG-enabled search, summarization, and secure cloud deployments in a controlled environment for development, clinical evaluation, and designated testing. You will work with government stakeholders, clinicians, cybersecurity, and DevSecOps teams to ensure scalable, secure, and

Qualifications

• Bachelor's degree or equivalent in a technical field.
• 10+ years designing enterprise software solutions.
• 5+ years designing cloud-native architectures on AWS or similar.
• Proven experience in AI/ML/Generative AI solutions.
• Experience with Amazon Bedrock or similar AI platforms.
• Leadership across multidisciplinary teams.
• Experience with REST APIs and enterprise integration.
• Understanding of healthcare interoperability standards.

Responsibilities

• Lead architecture, design, and implementation of enterprise AI solutions using LLMs and RAG.
• Design scalable, secure AI architectures for enterprise healthcare apps.
• Define data flows, interfaces, AI orchestration, and integration patterns.
• Evaluate AI technologies and frameworks for current and future needs.
• Ensure architecture supports future phases without expanding MVP scope.
• Design AI solutions leveraging AWS cloud services.
• Architect secure AI pipelines for document access, retrieval, and summarization.
• Define model selection, prompt management, and retrieval optimization.

Skills

LLMs

RAG

Cloud architecture

DevSecOps

AI governance

Stakeholder collaboration

Education

Bachelor's degree in Computer Science or related

Tools

Amazon Bedrock

AWS cloud services

Vector databases

REST APIs

Job description

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:

• Lead the architecture, design, and implementation of enterprise AI solutions utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).


• Design scalable, secure, and maintainable AI architectures supporting enterprise healthcare applications.


• Define solution architecture, data flows, system interfaces, AI orchestration, and integration patterns.


• Evaluate AI technologies, services, and frameworks to support current and future project needs.


• Ensure architecture supports approved future phases without expanding the authorized MVP scope.
  


• Design AI solutions leveraging Amazon Bedrock and AWS cloud services.


• Architect secure AI pipelines supporting approved document access and processing, retrieval, vector search, prompt orchestration, and AI-assisted summarization.


• Define strategies for model selection, prompt management, retrieval optimization, and AI performance tuning.


• Define monitoring and evaluation strategies to detect model, prompt, retrieval, and data drift and address degradation in accuracy, safety, or clinical relevance.


• Optimize AI architectures for scalability, operational cost, reliability, and response time.


• Collaborate with DevSecOps teams to support deployment automation and operational readiness.
  


• Design integration between AI services and existing enterprise healthcare applications.


• Define secure interfaces utilizing REST APIs and modern integration patterns.


• Ensure solutions align with healthcare interoperability standards including FHIR, HL7, and CCD.


• Collaborate with application development teams to integrate AI capabilities into clinician workflows.


• Promote consistent architecture patterns and engineering best practices across JLV development teams.
  


• Design AI solutions that comply with Federal cybersecurity, privacy, and Responsible AI requirements.


• Incorporate Human-in-the-Loop (HITL), source traceability, approved data boundaries, retention and purge controls, explainability, auditability, and governance principles into solution architecture.


• Support Authority to Operate (ATO), AI governance, Security Impact Analysis (SIA), and technology approval activities.


• Ensure secure handling of Protected Health Information (PHI) and Personally Identifiable Information (PII).


• Collaborate with cybersecurity teams to implement secure AI architectures and operational controls.
  


• Serve as the technical leader for AI architecture across the JLV contract.


• Mentor software engineers and provide architectural guidance throughout the software development lifecycle.


• Participate in architecture reviews, design sessions, sprint planning, backlog refinement, and technical estimation.


• Produce architecture documentation, system design artifacts, interface specifications, and implementation guidance.


• Present technical approaches and architectural recommendations to Government leadership and stakeholders.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related technical field, or equivalent experience.
  


• 10+ years designing enterprise software solutions.


• 5+ years designing cloud-native architectures utilizing AWS or comparable cloud platforms.


• Demonstrated experience architecting Artificial Intelligence, Machine Learning, or Generative AI solutions.


• Experience implementing enterprise applications utilizing Amazon Bedrock or similar AI platforms.


• Experience leading technical architecture across multidisciplinary engineering teams.


• Amazon Bedrock and AWS cloud services


• Large Language Models (LLMs)


• Retrieval-Augmented Generation (RAG)


• Prompt engineering, source-grounded AI evaluation, and hallucination testing


• Vector databases, embeddings, and semantic search


• REST APIs and enterprise integration


• Cloud architecture and distributed systems


• DevSecOps and CI/CD


• Healthcare interoperability (FHIR, HL7, CCD)

Additional Qualifications:

• 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.

Benefits:

• Medical, Dental, and Vision Insurance


• 401(k) with Employer Match


• Paid Time Off plus Federal Holidays


• Corporate Laptop


• Professional Development and Training Opportunities


• Remote Opportunity

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time.