Senior AI Solutions Architect (Remote Opportunity)
RemoteUnited States
Job Summary
Lead the architecture, design, and implementation of enterprise AI solutions utilizing Large Language Models and Retrieval-Augmented Generation for the Joint Longitudinal Viewer contract. Define solution architecture, data flows, and integration patterns while designing secure AI pipelines supporting document access, retrieval, and summarization on AWS cloud services. Collaborate with DevSecOps teams to support deployment automation and ensure alignment with healthcare interoperability standards including FHIR and HL7. Produce architecture documentation, participate in design reviews, and present technical approaches to Government stakeholders. Mentor software engineers and promote consistent engineering best practices across development teams.
Required Qualifications
- 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)
- 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
- 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
Desired Qualifications
- AWS Solutions Architect, AWS AI, Machine Learning, or other AWS cloud certifications are highly desirable
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