Lead Enterprise Agentic AI & LLM Orchestration

Sedgwick; Tennessee; On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Growth opportunities

Inclusive workplace environment

Job summary

Sedgwick is seeking a seasoned AI engineer to lead the architecture for enterprise-grade LLM and agentic AI systems. You will be responsible for defining the technical strategy and implementing systems that transform claims and operational workflows. The ideal candidate has 7–10 years of experience in AI engineering, with strong leadership and architectural skills.

The role emphasizes a collaborative workplace culture and offers opportunities to mentor peers while ensuring compliance with Responsible AI principles.

Qualifications

• 7–10+ years of experience in AI engineering or machine learning systems.
• 3–5+ years designing and deploying LLM-powered systems in production environments.
• Deep expertise in RAG architectures and embedding strategies.

Responsibilities

• Lead the architecture and delivery of enterprise-grade LLM systems.
• Define technical strategy for RAG and multi-agent orchestration.
• Build multi-agent collaboration models managing various processes.

Skills

AI engineering

Machine learning systems

Distributed software architecture

Python

RAG architectures

Multi-agent orchestration

Cloud-native environments

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or related discipline

Job description

Sedgwick is seeking a seasoned AI engineer to lead the architecture for enterprise-grade LLM and agentic AI systems. You will be responsible for defining the technical strategy and implementing systems that transform claims and operational workflows. The ideal candidate has 7–10 years of experience in AI engineering, with strong leadership and architectural skills.

The role emphasizes a collaborative workplace culture and offers opportunities to mentor peers while ensuring compliance with Responsible AI principles.