Senior Applied/Agentic AI Engineer

🕒 June 11

🏈 Alabama, Arizona, +24 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🌶️ New Mexico – Remote 🌲 North Carolina – Remote 🌪️ Oklahoma – Remote 🚗 Michigan – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 55%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sedgwick

WebsiteLinkedInAll Job Openings

10,000+ employees

🏗️ Construction

💼 Consulting

🏥 Healthcare

Construction • Consulting • Healthcare

Sedgwick is a global provider of technology-enabled risk, benefits, and integrated business solutions. They help people and organizations by managing and mitigating risk with solutions in accident, health, disability, unemployment compensation, and liability claims administration, among others. Sedgwick offers services such as claims administration, building consulting, forensic accounting, and forensic engineering. Their specialties include property restoration, brand protection, and loss prevention across several industries, including agriculture, construction, and environmental sectors. The company emphasizes diversity, equity, and inclusion (DEI) as well as environmental, social, and governance (ESG) practices.

📋 Description

• Lead the architecture and delivery of enterprise-grade LLM and agentic AI systems transforming claims, risk, and operational workflows • Define technical strategy for retrieval-augmented generation, multi-agent orchestration, and autonomous workflow automation • Design and implement agentic systems for planning, reasoning, tool selection, execution, reflection, and recovery • Architect stateful, memory-aware AI systems for long-running claims processes • Build multi-agent collaboration models for coverage analysis, document validation, fraud signals, compliance checks, and decision support • Establish orchestration frameworks for 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 guardrails, schema validation, and output verification pipelines • Lead document intelligence systems for summarization, entity extraction, discrepancy detection, and structured data reconstruction • Define prompt engineering standards and reusable reasoning templates • Oversee embedding strategies, vector indexing, retrieval optimization, and knowledge grounding • Design evaluation frameworks for reasoning depth, workflow accuracy, hallucination rates, latency, and cost efficiency • Implement observability layers tracking agent decisions, tool usage, retrieval effectiveness, and model/prompt drift • Drive token efficiency, caching, batching, and inference scaling optimization • Ensure compliance with Responsible AI principles, governance standards, audit requirements, and regulatory constraints • Partner with enterprise architecture, cybersecurity, and data governance teams on secure deployment patterns • Mentor engineers on LLM orchestration, workflow decomposition, and safe agent design • Translate executive business objectives into scalable AI platform capabilities • Lead proof-of-concepts through production deployment with measurable ROI • Evaluate emerging foundation models, orchestration frameworks, and agent tooling

🎯 Requirements

• 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

🏖️ Benefits

• Work-life balance • Caring culture • Career growth opportunities • Equal opportunity workplace • Drug-free workplace • Diverse, equitable, and inclusive workplace