3 days ago
Remote, United StatesSenior
Responsibilities
- Own an AI build stream from problem shaping through implementation, production operation, instrumentation, and measurable business outcomes.
- Design, build, deploy, and operate production Generative AI agents, workflows, and applications with orchestration, tool execution, state management, and enterprise integrations.
- Develop full-stack software in Python and React, including both backend services and user interfaces.
- Own AWS deployment and operations, Terraform infrastructure as code, and GitHub Actions CI/CD pipelines, environments, secrets, and production promotion.
- Implement AI evaluation, observability, provenance, human review, confirmation controls, and autonomy-readiness evidence.
- Implement authentication, authorization, logging, monitoring, error handling, PHI controls, auditability, and reliability measures.
- Integrate AI services with enterprise and legacy systems, APIs, data platforms, and event streams using versioned contracts.
- Collaborate directly with examiners, nurse reviewers, operations staff, and vendor delivery teams to scope services, workflows, and UI changes.
- Mentor Junior AI Engineers and promote engineering standards, code quality, and operational excellence.
- Lead root cause analysis and performance optimization for latency, throughput, cost, correctness, and reliability.
- Evaluate improvements to architecture, platform capabilities, and engineering processes.
- Travel as required, including onsite work with claims, Managed Care operations, and vendor delivery teams.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related quantitative discipline is required; a master's degree is preferred.
- Six or more years of software engineering experience, including at least three years shipping production Generative AI agents, workflows, or applications with evaluation, failure handling, and human review loops, or an equivalent combination of education and experience.
- Hands-on experience building and operating production workloads on AWS, including networking, identity, and operational concerns for regulated environments.
- Hands-on experience with Python, React, GitHub Actions, and Terraform, including ownership of CI/CD and infrastructure rather than merely editing templates.
- Strong full-stack engineering skills and working knowledge of SQL, REST APIs, and service design.
- Production experience with Generative AI agents, workflows, applications, tool use, orchestration, evaluation, and human-in-the-loop patterns.
- Ability to work within enterprise architecture, governance, PHI handling, and compliance requirements.
- Strong troubleshooting, problem-solving, analysis, collaboration, mentoring, technical communication, and judgment skills.
- Experience embedding with business users or vendor delivery teams to co-develop solutions is preferred.
- Experience in insurance, claims, healthcare, or another heavily regulated operational domain is preferred.
- Experience with machine learning, model fine-tuning, graph databases such as Neo4j, PydanticAI or an equivalent agent framework, agent observability, and AI Ops or LLMOps is preferred or a plus.
Benefits
- Remote role open to candidates in all U.S. states.
- Work-life balance and a caring workplace culture are highlighted.
- Travel and onsite work may be required with claims, Managed Care operations, and vendor delivery teams.
- Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
Categories
About Sedgwick
Sedgwick provides third‑party claims administration, risk and benefits services for employers, insurers, and public entities, spanning workers’ compensation, property and liability, disability and absence, and product recall. It sells outsourced claims management and related technology on a fee‑for‑service basis, supported by analytics and AI‑enabled tools, across operations in more than 80 countries. Founded in 1969 and headquartered in Memphis, Tennessee, Sedgwick is privately held under The Carlyle Group.