Senior Forward Deployed Engineer
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Job Description
Senior Forward Deployed Engineer building production Generative AI agents and full-stack applications for Sedgwick’s insurance operations. Deploying secure AWS services and partnering with claims and Managed Care teams.
Responsibilities:
- 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
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