Senior Applied & Agentic AI Engineer

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).