Senior AI Solutions Architect (Remote Opportunity)

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.
• 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.
• 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.
• 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.
• Able 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.