高级AI解决方案架构师（远程机会）
Senior AI Solutions Architect (Remote Opportunity)
VetsEZ 正在寻找一位高级 AI 解决方案架构师，负责领导为美国退伍军人事务部（VA）设计和实施企业级人工智能（AI）解决方案，负责 JLV 合同中的 AI 架构。初始任务将支持联合纵向查看器（JLV）AI 搜索与摘要计划，利用检索增强生成（RAG）和大型语言模型（LLMs），在受控的 AWS 云环境中交付一个安全、受监管的 AI 辅助搜索与摘要最小可行产品（MVP），用于开发、临床评估和指定用户测试。
与政府利益相关者、临床领域专家、软件工程师、网络安全团队和 DevSecOps 人员紧密合作，该职位将建立整体 AI 解决方案架构，同时确保可扩展性、安全性、互操作性、负责任的 AI，以及符合联邦网络安全和 AI 治理要求。
职责：
- 利用大型语言模型（LLMs）和检索增强生成（RAG）领导企业 AI 解决方案的架构、设计和实现。
- 设计可扩展、安全且易于维护的 AI 架构，以支持企业医疗应用。
- 定义解决方案架构、数据流、系统接口、AI 协调和集成模式。
- 评估 AI 技术、服务和框架，以支持当前和未来项目需求。
- 确保架构支持批准的后续阶段，而不会扩大授权的 MVP 范围。
- 设计利用 Amazon Bedrock 和 AWS 云服务的 AI 解决方案。
- 构建支持受控文档访问和处理、检索、向量搜索、提示协调和 AI 辅助摘要的安全 AI 流水线。
- 定义模型选择、提示管理、检索优化和 AI 性能调优策略。
- 定义监控和评估策略，以检测模型、提示、检索和数据漂移，并解决准确性、安全性和临床相关性的下降。
- 优化 AI 架构的可扩展性、运营成本、可靠性和响应时间。
- 与 DevSecOps 团队合作，支持部署自动化和运营就绪。
- 设计 AI 服务与现有企业医疗应用之间的集成。
- 定义利用 REST API 和现代集成模式的安全接口。
- 确保所有 AI 解决方案符合安全和合规要求。
查看英文原文
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.
Originally posted on Himalayas