Applied & Agentic AI Engineer

Job Responsibilities

• Architect and deploy LLM‑powered and agentic AI solutions that transform claims intake, policy interpretation, fraud detection, and resolution workflows.
• Design end‑to‑end retrieval‑augmented generation (RAG) systems leveraging enterprise knowledge bases, policy documents, SOPs, and historical claims data.
• Build autonomous and semi‑autonomous agents capable of reasoning, planning, and executing multi‑step claims processes.
• Develop stateful workflow orchestration layers that manage context, memory, and task sequencing across interactions.
• Implement planning and reflection loops that decompose complex claims scenarios into structured subtasks.
• Enable dynamic tool use through function calling and secure API integrations with claims systems, CRM platforms, document repositories, and analytics tools.
• Develop document intelligence pipelines using LLMs for summarization, entity extraction, classification, validation, and timeline reconstruction.
• Design structured prompt frameworks that enforce deterministic outputs and domain‑aware reasoning.
• Build multi‑agent systems that coordinate document review, coverage analysis, compliance checks, and decision support.
• Implement human‑in‑the‑loop checkpoints for escalation, review, and override of AI‑driven decisions.
• Develop guardrails, output validation layers, and hallucination mitigation strategies.
• Enforce structured outputs using schemas, type validation, and deterministic post‑processing logic.
• Optimize token consumption, inference latency, and cloud infrastructure costs.
• Deploy scalable AI microservices using containerization and cloud‑native architectures.
• Implement monitoring for model drift, retrieval quality degradation, reasoning failures, and workflow breakdowns.
• Maintain detailed audit logs of model decisions, agent reasoning steps, and tool executions.
• Develop evaluation frameworks to test reasoning accuracy, workflow completion rates, and system reliability.
• Collaborate with data engineering to build 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 to embed AI capabilities directly into adjuster and supervisor workflows.
• Measure business impact through cycle‑time reduction, automation coverage, fraud detection lift, and operational efficiency gains.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or related field.
• 5+ years of experience building production‑grade AI or advanced software systems.
• 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 and implementing multi‑agent systems and workflow orchestration engines.
• Deep understanding of planning loops, contextual memory, and tool‑augmented LLM reasoning.
• 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, and auditability mechanisms.
• Strong knowledge of evaluation methodologies for LLM reliability and agent performance.
• Experience in insurance, claims, healthcare, or other regulated industries preferred.
• Ability to translate complex operational workflows into scalable, AI‑driven autonomous systems.

Sedgwick is an Equal Opportunity Employer and a Drug‑Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.