Senior Forward Deployed Engineer

Job not on LinkedIn

🔥 0 minutes ago

🐊 Florida – Remote

🐊 Florida – Remote

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sedgwick

WebsiteLinkedInAll Job Openings

10,000+ employees

🏗️ Construction

💼 Consulting

🏥 Healthcare

Construction • Consulting • Healthcare

Sedgwick is a global provider of technology-enabled risk, benefits, and integrated business solutions. They help people and organizations by managing and mitigating risk with solutions in accident, health, disability, unemployment compensation, and liability claims administration, among others. Sedgwick offers services such as claims administration, building consulting, forensic accounting, and forensic engineering. Their specialties include property restoration, brand protection, and loss prevention across several industries, including agriculture, construction, and environmental sectors. The company emphasizes diversity, equity, and inclusion (DEI) as well as environmental, social, and governance (ESG) practices.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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