出海雷达

Principal AI Engineer

AI开发工程限定地区(需当地身份)
公司Sedgwick
薪资未公开
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。
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通过加入 Sedgwick,你将成为真正有意义的东西的一部分。这是我们33,000名同事为世界各地面临意外的事情的人每天做的。我们邀请你与我们一起发展自己的职业生涯,体验我们的关心文化,并享受工作和生活平衡。在这里,你可以达到什么样的目标没有限制。新闻周刊承认 Sedgwik 是美国最伟大的工作场所国家顶级公司作为一个伟大的工作场所®财富最佳工作场所在金融服务和保险领域最大 AI 工程师远程公开角色。重要功能和责任 · 拥有从产品运营过程中构建问题的价值流器技术结果,包括工作是否有助于共享能力或不完整。· 与企业转型领导者,检查员,护士审查人员和操作直接合作。· 与用户坐下来,塑造模糊的问题,拒绝将新功能线到已知的破解过程中的工作。· 建筑师和个人建立生产生成人工智能代理,工作流程和应用程序,并贡献 Python 和 React 代码而不是远程审查。· 设定和执行对该器的工程标准:作为生产的路径,GitHub Actions 作为 CI/CD 条,评估和可观察性为发布门口以及后续索赔行动的人类确认。· 对该 pod 是否落地在共享基板 (文本,文件,代理,保证)或分叉负责;行使管理权和设计委员会权力来阻止重复构建。·定义了供应商交付团队当流程共同开发时:Sedgwick 帐户中的共享存储库,Sedgwik 拥有合约,完成的共享定义。· 建立了 AI 工作流程的评估,来源和自主性梯度证据。• 能实现什么?需要做什么?并不能准备好吗?• 在企业拥有门的情况下进行技术解决方案设计和架构审查;与企业标准 (身份,模型出口,PHI,可移植性)的冲突升级而不是安静地吸收它们。· 代表人工智能工程设计委员会中的 pod;独立运作,并预计将与同行校长相汇聚,而不需要 SVP 仲裁在技术分歧方面。· 为高级和普通人员提供技术指导和辅导。

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By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.
Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies
Certified as a Great Place to Work®
Fortune Best Workplaces in Financial Services & Insurance
Principal AI EngineerRemote role open to all U.S. states.

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

  • Owns the technical outcome of a value-stream pod from problem shaping through production operation, including whether work contributes to shared capability or is incomplete.
  • Partners directly with business transformation leadership, examiners, nurse reviewers, and operations — sitting with users, shaping ambiguous problems, and refusing work that would wire new capability onto a process known to be broken.
  • Architects and personally builds production Generative AI agents, workflows, and applications, contributing code in Python and React rather than reviewing from a distance.
  • Sets and enforces engineering standards for the pod: API-first and contract-first delivery, AWS and Terraform as the path to production, GitHub Actions as the CI/CD bar, evaluation and observability as release gates, and human confirmation on consequential claims actions.
  • Accountable for whether the pod lands on shared substrate (context, documents, agents, assurance) or forks it; exercises stewardship and design-council authority to block duplicate builds.
  • Defines interface terms with vendor delivery teams when the stream is co-developed: shared repositories in Sedgwick accounts, Sedgwick-owned contracts, shared definition of done.
  • Establishes evaluation, provenance, and autonomy-ladder evidence for AI workflows — what may auto-complete, what must ask then do, and what is not ready — with the business owning thresholds.
  • Leads technical solution design and architectural review for the stream; escalates conflicts with enterprise standards (identity, model egress, PHI, portability) rather than absorbing them quietly.
  • Represents the pod on the AI Engineering design council; operates independently and is expected to converge with peer Principals without requiring SVP arbitration for ordinary technical disagreement.
  • Provides technical guidance and mentoring to Senior and Junior AI Engineers; raises the pod’s bar on code quality, operational excellence, and forward-deployed practice.
  • Leads complex troubleshooting, root cause analysis, and performance optimization for business-critical AI services and platforms.
  • Evaluates and recommends whether a capability should be built in-house, co-developed with a vendor, or not built — with a named owner and a removal path when a compromise is accepted.

ADDITIONAL FUNCTIONS AND RESPONSIBILITIES·

  • Performs other duties as assigned.
  • Travel as required, including regular on-site work with claims or Managed Care operations and with vendor delivery teams.

QUALIFICATIONS
Education & Licensing

Bachelor’s degree in Computer Science, Engineering, or a related quantitative discipline from an accredited college or university required. Master’s degree preferred.

Experience

Ten (10)+ or more years of software engineering experience, including at least four (4) years owning production Generative AI or applied-AI systems in the field — agents, workflows, or applications, including evaluation, failure handling, and a human review loop — or an equivalent combination of education and experience.Hands-on production experience on AWS, and hands-on Python, React, GitHub Actions, and Terraform, at a level sufficient to set the bar for a pod, not only meet it. Cloud certification or architecture-only experience without recent production code is not sufficient.Experience leading technical delivery for a value stream or equivalent without people-management authority.Experience in insurance, claims, healthcare, or another heavily regulated operational domain preferred.

Skills & Knowledge

  • Expert full-stack engineering skills in Python and React, with strong SQL, APIs, and service design; still writes production code
  • Deep, hands-on AWS, Terraform, and GitHub Actions — including identity, networking, environments, and operational recovery — sufficient to set standards and review others’ work
  • Production command of Generative AI agents, workflows, and applications, including tool use, orchestration, evaluation, provenance, and human-in-the-loop patterns
  • Ability to walk into a design session with examiners or operations leaders and leave with a shaped problem, scoped build, and explicit non-goals
  • Ability to keep a pod on shared substrate and to stop a duplicate build without escalating every conflict
  • Ability to set interface terms with vendors and internal platform teams while remaining a peer IC, not a manager of either
  • Strong mentoring, collaboration, and technical communication skills with the ability to influence transformation leadership, architecture, security, and engineering peers
  • Experience with machine learning, model fine-tuning, and/or graph databases (e.g. Neo4j) preferred
  • Experience with PydanticAI (or equivalent agent framework), agent observability, and AI Ops / LLMOps a plus
  • Ability to meet or exceed Performance Competencies

WORK ENVIRONMENT
When applicable and appropriate, consideration will be given to reasonable accommodation.
Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines
Physical: Computer keyboarding, travel as required
Auditory/Visual: Hearing, vision and talking
Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.
Originally posted on Himalayas

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