Senior AI Solutions Architect

🕒 il y a 1 mois

🌴 South Carolina – Distant

🌴 South Carolina – Remote

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

👻 Score fantôme 38%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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VetsEZ

Site WebLinkedInTous les Emplois

201 - 500 employés

🏥 Santé

💼 Conseil

📦 Logistique

Healthcare • Consulting • Logistics

VetsEZ est une entreprise spécialisée dans la transformation numérique au sein du secteur fédéral. Elle fournit à ses clients des solutions telles que le PMO (Project Management Office), des solutions logicielles et des solutions de gestion des données. VetsEZ est activement impliquée dans la sécurisation et la gestion de grands contrats, tels qu'un contrat de 5 ans et 158 millions de dollars pour le développement, la sécurité et les services de soutien aux opérations (CCDSO), ainsi qu'un contrat de 5 ans et 415 millions de dollars pour les services de soutien DevSecOps de gestion des données et des middleware de santé (HMDM). L'entreprise soutient également le département des Anciens Combattants (VA) par le biais de programmes de surveillance des médicaments sur ordonnance et d'autres services de gestion des données de santé. VetsEZ se concentre sur l'exploitation de la technologie pour améliorer les soins de santé et la gestion des données pour les clients fédéraux.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

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