Senior and Applied/Agentic AI Engineer

Sedgwick; Biloxi (MS); On-site; USD 150,000 - 210,000; Full time

Job summary

Sedgwick is seeking a senior AI engineer to lead the architecture and deployment of enterprise-grade LLM-powered and agentic AI systems. You will shape RAG strategies, multi-agent orchestration, and secure integrations across claims, risk, and operations.

Qualified candidates bring 7–10+ years in AI/distributed architectures, deep expertise in Python, and hands-on experience with memory, tool execution, and governance frameworks. Remote-friendly with a strong culture of innovation.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or related discipline.
• 7–10+ years of experience in AI engineering, machine learning systems, or distributed software architecture.
• 3–5+ years designing and deploying LLM-powered systems in production environments.
• Demonstrated experience architecting full agentic AI systems with planning, reflection, memory, and tool execution components.

Responsibilities

• Lead the architecture and delivery of enterprise-grade LLM and agentic AI systems across claims, risk, and operations.
• Define technical strategy for retrieval-augmented generation, multi-agent orchestration, and autonomous workflow automation.
• Design and implement advanced agentic systems with planning, reasoning, tool selection, execution, reflection, and recovery.
• Architect memory-aware AI systems that manage long-running processes across multiple touchpoints.
• Build multi-agent collaboration models coordinating coverage analysis, document validation, fraud signals, compliance checks, and decision support.

Skills

Python

LLM orchestration

RAG architecture

Vector databases

Multi-agent orchestration

Cloud-native microservices

Distributed systems

APIs

Guardrails & audit logs

Education

Bachelor’s or Master’s degree in CS/AI/Engineering

Tools

None

Job description

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By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies

Certified as a Great Place to Work®

Fortune Best Workplaces in Financial Services & Insurance

Senior and Applied/Agentic AI Engineer

Job Responsibilities

• Lead the architecture and delivery of enterprise-grade LLM and agentic AI systems that transform claims, risk, and operational workflows.
• 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.
• Architect stateful, memory-aware AI systems that manage long-running claims processes across multiple touchpoints.
• Build multi-agent collaboration models that coordinate coverage analysis, document validation, fraud signals, compliance checks, and decision support.
• Establish orchestration frameworks that manage task routing, context persistence, structured outputs, and failure handling.
• Design secure tool integration layers connecting agents to claims systems, policy platforms, data warehouses, document repositories, and external data services.
• Implement deterministic guardrails, schema validation, and output verification pipelines to reduce hallucination and execution risk.
• Lead development of document intelligence systems leveraging LLMs for summarization, entity extraction, discrepancy detection, and structured data reconstruction.
• Define prompt engineering standards and reusable reasoning templates for consistent, domain-aware outputs.
• Oversee embedding strategies, vector indexing architecture, retrieval optimization, and knowledge grounding approaches.
• Design evaluation frameworks to measure reasoning depth, workflow completion accuracy, hallucination rates, latency, and cost efficiency.
• Implement observability layers that track agent decisions, tool usage, retrieval effectiveness, and drift across models and prompts.
• Drive optimization strategies for token efficiency, caching, batching, and inference scaling.
• Ensure compliance with Responsible AI principles, enterprise governance standards, audit requirements, and regulatory constraints.
• Partner with enterprise architecture, cybersecurity, and data governance teams to define secure deployment patterns.
• Mentor engineers on LLM orchestration patterns, workflow decomposition, and safe agent design.
• Translate executive-level business objectives into scalable AI platform capabilities.
• Lead proof-of-concepts through full production deployment with measurable ROI outcomes.
• Continuously evaluate emerging foundation models, orchestration frameworks, and agent tooling for enterprise readiness.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or related discipline.
• 7–10+ years of experience in AI engineering, machine learning systems, or distributed software architecture.
• 3–5+ years designing and deploying LLM-powered systems in production environments.
• Demonstrated experience architecting full agentic AI systems with planning, reflection, memory, and tool execution components.
• Deep expertise in RAG architectures, embedding strategies, vector databases, and retrieval optimization.
• Strong experience designing multi-agent orchestration frameworks and workflow engines.
• Advanced proficiency in Python and enterprise API integration patterns.
• Experience building secure, scalable microservices in cloud-native environments.
• Strong understanding of distributed systems, event-driven architectures, and system reliability principles.
• Experience implementing structured output enforcement, guardrails, and audit logging mechanisms.
• Demonstrated ability to design evaluation and benchmarking frameworks for LLM and agent reliability.
• Experience operating in regulated industries such as insurance, financial services, or healthcare preferred.
• Proven leadership in technical design reviews, architecture governance, and cross-functional collaboration.
• Strong ability to balance innovation with enterprise risk management and operational stability.

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.

Sedgwick is the world’s leading risk and claims administration partner, which helps clients thrive by navigating the unexpected. The company’s expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see sedgwick.com