1 day ago
Remote, United StatesSenior
Responsibilities
- Architect and deploy LLM-powered and agentic AI solutions for claims intake, policy interpretation, fraud detection, and resolution workflows.
- Design RAG systems using enterprise knowledge bases, policy documents, SOPs, and historical claims data.
- Build multi-agent systems, autonomous workflows, planning and reflection loops, contextual memory, and tool-augmented reasoning.
- Develop document intelligence pipelines for summarization, entity extraction, classification, validation, and timeline reconstruction.
- Implement prompt frameworks, structured outputs, guardrails, validation layers, hallucination mitigation, human-in-the-loop checkpoints, and audit logs.
- Integrate claims systems, CRM platforms, document repositories, analytics tools, and other enterprise platforms through secure APIs.
- Deploy scalable containerized AI microservices and optimize token consumption, inference latency, and cloud infrastructure costs.
- Monitor model drift, retrieval quality, reasoning failures, workflow breakdowns, and system reliability.
- Develop evaluation frameworks for reasoning accuracy, workflow completion, and agent performance.
- Collaborate with data engineering on embedding pipelines, feature stores, and vector indexing strategies.
- Ensure compliance with Responsible AI standards, data privacy regulations, and enterprise governance policies.
- Partner with claims operations leadership and measure cycle-time reduction, automation coverage, fraud detection lift, and operational efficiency.
Requirements
- Bachelor's or master's degree in Computer Science, Artificial Intelligence, Engineering, or a related field.
- At least 5 years of experience building production-grade AI or advanced software systems.
- At least 2–4 years of hands-on experience with LLM-powered applications and orchestration layers.
- Strong expertise in retrieval-augmented generation architectures and vector search systems.
- Experience designing multi-agent systems and workflow orchestration engines.
- Strong proficiency in Python and API-driven system design.
- Experience integrating enterprise platforms and building secure connectors.
- Familiarity with Azure OpenAI or similar enterprise LLM environments.
- Experience deploying containerized services and managing CI/CD pipelines.
- Understanding of distributed systems, microservices, and event-driven architectures.
- Experience implementing guardrails, access controls, auditability mechanisms, and LLM reliability evaluations.
- Experience in insurance, claims, healthcare, or another regulated industry is preferred.
- Ability to translate complex operational workflows into scalable, AI-driven autonomous systems.
Benefits
- Work-life balance and a caring workplace culture.
- Opportunity to work at a Great Place to Work-certified company recognized by Newsweek and Fortune.
- Sedgwick is an equal opportunity employer and drug-free workplace.
- The company promotes a diverse, equitable, and inclusive workplace.
Tech Stack
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.