Senior AI Solutions Architect

🕒 Julho 23

🌴 South Carolina – Remoto

🌴 South Carolina – Remote

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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VetsEZ

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🏥 Saúde

💼 Consultoria

📦 Logística

Healthcare • Consulting • Logistics

A VetsEZ é uma empresa especializada em transformação digital no setor federal. Ela oferece soluções como PMO (Escritório de Gerenciamento de Projetos), soluções de software e soluções de dados para seus clientes. A VetsEZ está ativamente envolvida na obtenção e gerenciamento de grandes contratos, como um contrato de 5 anos, no valor de $158 milhões, para Serviços de Apoio ao Desenvolvimento, Segurança e Operações de Cuidados Comunitários (CCDSO), e um contrato de 5 anos, no valor de $415 milhões, para Serviços de Suporte DevSecOps para Middleware de Saúde e Gerenciamento de Dados (HMDM). A empresa também apoia o Departamento de Assuntos de Veteranos (VA) por meio de programas de monitoramento de prescrições de medicamentos e outros serviços de gerenciamento de dados de saúde. A VetsEZ foca no uso da tecnologia para melhorar o cuidado com a saúde e o gerenciamento de dados para clientes federais.

Descrição

• 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.

🎯 Requisitos

• 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. • Strong understanding of enterprise architecture principles and cloud-native application design. • 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. • AWS Solutions Architect, AWS AI, Machine Learning, or other AWS cloud certifications are highly desirable.

🏖️ Benefícios

• Medical, Dental, and Vision Insurance • 401(k) with Employer Match • Paid Time Off plus Federal Holidays • Corporate Laptop • Professional Development and Training Opportunities