出海雷达

Sr Director Applied AI Architecture & Platform Infrastructure

AI开发工程限定地区(需当地身份)
公司GuideWell
薪资$180,000 - $292,500/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

在 Guidewell,我们正在从人工智能实验转变为真正由 AI 领导的组织,这种转型不仅需要孤立的试点或点解决方案。它需要一个能够与人工智能的边界保持步伐的基础能力,同时构建了在企业规模上安全可靠运行所需的平台,基础设施和架构。这个角色正在建立起,从头开始,可以追踪和应用边界 AI (模型评估,代理 AI,多模式 AI,人-AI 互动)的企业能力,同时建立了一个允许这些能力跨越高度监管的医疗环境的工程基础。这是一个建设者任务。你不会继承一个功能,你将设计它,员工它,并立起来,直接向应用人工智能工程和平台副总裁报告,并在四个相互关联的支柱上工作:AI 研究与应用智能,基础设施和平台工程,开发者平台以及建筑,战略和标准。接管这个角色的人将塑造 Guidewell 如何在未来几年内构建人工智能。主要责任:• AI 研究与应用智能 建立 Guidewell 的应用 AI 研究功能持续评估模型能力,代理人工智能,多模型人工智能和人与人工智能互动领域的前沿发展,并将其转化为可测量价值在整个健康生态系统中创造的应用用例优先路线图。•基础设施和平台工程构建 AI 基础架构和平台能力 - 数据,MLOps/LLMOps,允许 Guidewell 从原型向可靠,安全,企业规模生产级运营的模型管道。•开发者平台 建立一个开发者平台和工具链,使产品和工程团队能够自助服务地访问共享的 AI 功能,减少重复基础设施并缩短从想法到生产的路径。•建筑,战略与标准定义 Guidewell 的 AI 架构和工程标准,允许人工智能在监管医疗环境中安全扩展,而不会减缓交付。• 战略与执行伙伴关系 与应用人工智能工程和平台副总裁以及企业架构,基础设施,数据,安全,法律/合规及业务的高级利益相关者合作,以塑造并不断发展 Guidewell 的人工智能技术和研究策略。

查看英文原文

At Guidewell, we are moving from AI experimentation to becoming a genuinely AI-led organization, and that shift requires more than isolated pilots or point solutions. It requires a foundational capability that can keep pace with the frontier of AI while building the platform, infrastructure, and architecture needed to run it safely and reliably at enterprise scale. This role is being created to build, from the ground up, an enterprise capability that can track and apply frontier AI (model evaluation, agentic AI, multimodal AI, human-AI interaction) while establishing the engineering foundation that lets those capabilities scale across a highly regulated healthcare environment.
This is a builder's mandate. You will not inherit a function, you will design it, staff it, and stand it up, reporting directly to the VP of Applied AI Engineering and Platform and working across four interconnected pillars: AI Research & Applied Intelligence, Infrastructure & Platform Engineering, Developer Platform, and Architecture, Strategy & Standards. The person who takes this role will shape how Guidewell builds AI for years to come.
Key Responsibilities:
• AI Research & Applied Intelligence Establish Guidewell's applied AI research function — continuously evaluating frontier developments in model capability, agentic AI, multimodal AI, and human-AI interaction, and translating them into a prioritized roadmap of applied use cases that create measurable value across the health ecosystem.
• Infrastructure & Platform Engineering Build the AI infrastructure and platform capability - compute, MLOps/LLMOps, model pipelines that allows Guidewell to move AI solutions from prototype into reliable, secure, production-grade operation at enterprise scale.
• Developer Platform Stand up a developer platform and toolchain that gives product and engineering teams self-service access to shared AI capabilities, reducing duplicated infrastructure and shortening the path from idea to production.
• Architecture, Strategy & Standards Define Guidewell's AI architecture and engineering standards that lets AI scale safely across a regulated healthcare environment without slowing delivery.
• Strategy & Executive Partnership Partner with the VP of Applied AI Engineering and Platform, and with senior stakeholders across Enterprise Architecture, Infrastructure, Data, Security, Legal/Compliance, and the business, to shape and continuously evolve Guidewell's AI engineering and research strategy.
Key Requirements:
• Related Bachelor’s degree or additional related equivalent work experience
• 7+ years’ related work experience
• 5+ years’ direct supervisory/management experience
• Significant experience leading AI/ML platform, infrastructure, or applied AI engineering organizations at enterprise scale with a track record that includes hands-on architecture work, not just oversight.
• Experience architecting and operating agentic AI platforms in production: orchestration/agent frameworks, tool-access and identity controls, evaluation gates, observability, and deployment pipelines at real scale.
• Deep expertise in a major cloud platform (AWS, Azure, GCP, or similar) and its infrastructure-as-code, container/serverless, CI/CD, and multi-region resilience practices, with a track record of making that infrastructure both secure and cost-efficient.
• Experience establishing evaluation-first LLMOps practices (regression testing, tracing, human-in-the-loop oversight) for systems that have to hold up under regulatory, clinical, or audit scrutiny.
• Demonstrated experience building and leading engineering organizations from the ground up, including across distributed or global delivery models.
• Strong executive communication and credibility to partner with senior technical and business stakeholders.
Preferred:
• Experience operating in a regulated or compliance-sensitive industry - healthcare, financial services, or similar and translating requirements like HIPAA or SOX into concrete engineering standards.
• Experience redesigning established business or clinical workflows as agent-driven processes, rather than simply automating individual tasks within them.
• Experience building reusable platform components that let product teams assemble AI capability from proven building blocks instead of starting from scratch each time.
• Experience setting technical direction on emerging agentic AI and orchestration techniques as they mature and converting what works into lasting platform standards.
• A background that spans deep hands-on technical architecture and organizational leadership comfortable operating at both altitudes.
• Direct exposure to health plans, providers, clinical operations, or government health care programs.
General Physical Demands
Sedentary work: Exerting up to 10 pounds of force occasionally to move objects. Jobs are sedentary if traversing activities are required only occasionally.
Physical/Environmental Activities
Must be able to travel to multiple locations for work (i.e. travel to attend meetings, events, conferences). Occasionally

What We Offer:
As a Florida Blue employee, you will be at the heart of GuideWell’s vision – to lead the nation in transforming health through compassionate, connected, and technology-enabled care that delivers personalized value and empowered living.

To support your wellbeing, comprehensive benefits are offered. As an employee, you will have access to:

  • Medical, dental, vision, life and global travel health insurance;
  • Income protection benefits: life insurance, short- and long-term disability programs;
  • Leave programs to support personal circumstances;
  • Retirement Savings Plan including employer match;
  • Paid time off, volunteer time off, 10 holidays and 2 well-being days;
  • Additional voluntary benefits available; and
  • A comprehensive wellness program

Employee benefits are designed to align with federal and state employment laws. Benefits may vary based on the state in which work is performed. Benefits for intern, part-time and seasonal employees may differ.

To support your financial wellbeing, we offer competitive pay as well as opportunities for incentive or commission compensation. We also conduct regular annual reviews with pay for performance considerations for base pay increases.

Annualized Salary Range: $180,000 - $292,500

Typical Annualized Hiring Range: $180,000 - $225,000

Final pay will be determined with consideration of market competitiveness, internal equity, and the job-related knowledge, skills, training, and experience you bring.

We are an Equal Employment Opportunity employer committed to cultivating a work experience where everyone feels like they belong and can perform at their best in pursuit of our mission. All qualified applicants will receive consideration for employment.
Originally posted on Himalayas

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