Senior Forward Deployed Engineer

🕒 Outubro 21

🐊 Florida – Remoto

🐊 Florida – Remote

⏰ Tempo Integral

🟠 Sênior

👷🏻‍♀️ Engenheiro

🦅 Patrocina Visto H1B

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👻 Score fantasma 10%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Sedgwick

SiteLinkedInTodas as Vagas

10.000+ funcionários

🏗️ Construção

💼 Consultoria

🏥 Saúde

Construction • Consulting • Healthcare

A Sedgwick é uma fornecedora global de soluções de tecnologia para riscos, benefícios e negócios integrados. Eles ajudam pessoas e organizações a gerenciar e mitigar riscos com soluções em administração de sinistros de acidentes, saúde, invalidez, compensação por desemprego e responsabilidade, entre outros. A Sedgwick oferece serviços como administração de sinistros, consultoria de construção, contabilidade forense e engenharia forense. Suas especialidades incluem restauração de propriedades, proteção de marcas e prevenção de perdas em vários setores, incluindo agricultura, construção e setores ambientais. A empresa enfatiza diversidade, equidade e inclusão (DEI) e práticas ambientais, sociais e de governança (ESG).

Descrição

• Own a build stream end to end within a pod, from problem shaping through implementation, production operation, and instrumentation • Design, build, and operate production Generative AI agents, workflows, and applications • Develop full-stack software in Python and React, including services and user interfaces • Deploy and operate workloads on AWS using Terraform and GitHub Actions CI/CD • Implement evaluation, observability, provenance, confirmation controls, and human-in-the-loop controls for AI systems • Implement authentication, authorization, logging, monitoring, and error handling for enterprise security, auditability, PHI, and reliability requirements • Integrate AI services with enterprise and legacy systems using APIs, data platforms, event streams, and versioned contracts • Steward shared capabilities and prevent duplicate builds across pods • Co-develop with vendor delivery teams when required • Work directly with examiners, nurse reviewers, and operations staff to turn observed work into services, workflows, and UI changes • Mentor Junior AI Engineers and promote engineering standards, code quality, and operational excellence • Troubleshoot, lead root cause analysis, and optimize production AI service latency, throughput, cost, correctness, and reliability • Evaluate and recommend improvements to architecture, platform capabilities, and engineering processes • Perform other duties as assigned • Travel as required, including on-site work with claims or Managed Care operations and vendor delivery teams

🎯 Requisitos

• Bachelor’s degree in Computer Science, Engineering, or a related quantitative discipline from an accredited college or university required • Master’s degree preferred • Six (6)+ years of software engineering experience • 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 insufficient • Hands-on experience with Python, React, GitHub Actions, and Terraform, including ownership of CI/CD and infrastructure • Strong full-stack engineering skills in Python and React, with working knowledge of SQL, REST APIs, and service design • Experience implementing enterprise architecture, governance, PHI handling, and compliance requirements • Experience with Generative AI agents, workflows, applications, tool use, orchestration, evaluation, and human-in-the-loop patterns • Strong mentoring, collaboration, and technical communication skills • Ability to work collaboratively in a fast-paced Transformation Office and pair with vendor engineers • Experience with machine learning, model fine-tuning, and/or graph databases preferred • Experience with PydanticAI or equivalent agent framework, agent observability, and AI Ops/LLMOps a plus • Ability to meet or exceed Performance Competencies

🏖️ Benefícios

• Work-life balance • Remote work for U.S.-based candidates • Career growth opportunities • Caring culture • Travel as required, including on-site work with claims or Managed Care operations and vendor delivery teams

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