Senior Forward Deployed Engineer
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高级前部署工程师远程建设,开放于美国角色候选人。· 设计,构建和运营生产生成人工智能代理,工作流程和应用程序,包括请求编排,工具执行,状态管理以及与企业系统的交互。· 在 Python 和 React 中开发全套软件,将服务和商用用户触摸的界面都发送到公司。·拥有 AWS 上的部署和操作,在 GitHub 行动中的 CI/CD 和 Terraform 中的基础设施作为代码,包括环境,秘密和可重复推广到制作。· 实施 AI 系统的评估,可观察性和人为循环控制:材料输出来源,后续索赔行动的确认以及工作流准备好升级自主权梯度的证据。· 实现验证,授权,记录,监控和错误处理以满足企业安全,审计能力,PHI 和可靠性的要求。· 将 AI 服务与企业和传统系统集成,包括 API,数据平台和事件流使用批准的非侵入模式和版本合同。· 管理分配的共享功能 (文本,文件,代理或保证),有权阻止另一个模块中的重复构建。· 在流需要时与供应商交付团队进行共同开发:在 Sedgwick 帐户中共享存储库,分享完成定义,而不是测试后接受验证。· 与考生,护士审查员或运营人员一起坐下来;观察工作;并将其转化为范围服务,工作流程和 UI 变更。· 为小人工智能工程师提供技术指导和辅导,促进工程标准,代码质量以及
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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
Senior Forward Deployed EngineerRemote role, open to U.S. based candidates.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
- Owns a build stream end to end within a pod: problem shaping with the Principal, implementation, production operation, and instrumentation of the outcome the business said it would measure.
- Designs, builds, and operates production Generative AI agents, workflows, and applications — including request orchestration, tool execution, state management, and interaction with enterprise systems.
- Develops full-stack software in Python and React, shipping both the service and the interface a business user touches.
- Owns deployment and operation on AWS, with infrastructure as code in Terraform and CI/CD in GitHub Actions, including environments, secrets, and repeatable promotion to production.
- Implements evaluation, observability, and human-in-the-loop controls for AI systems: provenance on material outputs, confirmation on consequential claims actions, and evidence that a workflow is ready to move up the autonomy ladder.
- Implements authentication, authorization, logging, monitoring, and error handling to meet enterprise security, auditability, PHI, and reliability requirements.
- Integrates AI services with enterprise and legacy systems — including APIs, data platforms, and event streams — using approved, non-invasive patterns and versioned contracts.
- Stewards a shared capability as assigned (context, documents, agents, or assurance), with authority to block a duplicate build in another pod.
- Embeds with vendor delivery teams for co-development when the stream requires it: shared repositories in Sedgwick accounts, shared definition of done, not acceptance testing after a demo.
- Sits with examiners, nurse reviewers, or operations staff; watches the work; and turns that into scoped services, workflows, and UI changes.
- Provides technical guidance and mentoring to Junior AI Engineers, promoting engineering standards, code quality, and operational excellence.
- Troubleshoots and leads root cause analysis and performance optimization for latency, throughput, cost, correctness, and reliability of production AI services.
- Evaluates and recommends improvements to architecture, platform capabilities, and engineering process for the stream and the shared substrate.
ADDITIONAL FUNCTIONS AND RESPONSIBILITIES
- Performs other duties as assigned.
- Travel as required, including 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
Six (6) + years of software engineering experience, with at least three (3) years shipping production Generative AI agents, workflows, or applications — including evaluation, failure handling, and a human review loop — or an equivalent combination of education and experience.
Hands-on experience building and operating production workloads on AWS required. Cloud certification without production ownership is not sufficient.
Hands-on experience with Python, React, GitHub Actions, and Terraform required, including ownership of CI/CD and infrastructure rather than editing templates.
Experience embedding with business users or a vendor delivery team to co-develop, rather than receiving a completed specification, preferred.
Experience in insurance, claims, healthcare, or another heavily regulated operational domain preferred.
Skills & Knowledge
- Strong full-stack engineering skills in Python and React, with solid working knowledge of SQL, REST APIs, and service design
- Hands-on AWS: has built, deployed, and operated production services, including networking, identity, and operational concerns sufficient for a regulated environment
- Hands-on GitHub Actions and Terraform: owns pipelines and infrastructure as code, including review, drift, and recovery
- Production command of Generative AI agents, workflows, and applications — tool use, orchestration, evaluation, and human-in-the-loop patterns — sufficient to ship and run, not only prototype
- Ability to implement services in alignment with enterprise architecture, governance, PHI handling, and compliance requirements
- Ability to sit with examiners or operations staff and leave with scoped work; comfortable as the only engineer in that room
- Ability to work collaboratively in a fast-paced Transformation Office, including pairing with vendor engineers when required
- Strong mentoring, collaboration, and technical communication skills
- 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