Senior Applied & Agentic AI Engineer at Sedgwick

Sedgwick seeks a Senior Applied & Agentic AI Engineer to lead the architecture and delivery of enterprise-grade LLM and agentic AI systems that transform claims, risk, and operational workflows.

Key Responsibilities

Define technical strategy for retrieval-augmented generation (RAG), multi-agent orchestration, and autonomous workflow automation

Design and implement advanced agentic systems capable of planning, reasoning, tool selection, execution, reflection, and recovery

Establish orchestration frameworks and build multi-agent collaboration models coordinating coverage analysis, fraud detection, and compliance checks

Build document intelligence systems leveraging LLMs

Standardize prompt engineering practices

Oversee embedding strategy and evaluation framework design

Implement observability layers and token optimization

Establish guardrails to minimize hallucination risks

Ensure compliance with responsible AI principles

Mentor engineering teams

Required Qualifications

Bachelor's or Master's degree in Computer Science, AI, Engineering, or related field

7-10+ years in AI engineering, machine learning systems, or distributed software architecture

3-5+ years designing and deploying LLM-powered production systems

Demonstrated expertise architecting agentic AI systems with planning, reflection, memory, and tool execution

Deep knowledge of RAG architectures, vector databases, and retrieval optimization

Advanced Python proficiency and enterprise API integration patterns

Experience building secure, scalable microservices in cloud-native environments

Distributed systems, event-driven architecture, observability layers

Structured output enforcement and guardrails implementation

Background in regulated industries (insurance, financial services, healthcare) preferred

Application deadline: June 3, 2026.

Remote position (United States only).