Applied AI Engineer

🕒 April 28

🏈 Alabama, Arizona, +26 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 🌾 North Dakota – Remote 🌪️ Oklahoma – Remote 🚗 Michigan – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

⏰ Full Time

🟡 Mid-level

🟠 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

• Architect and deploy LLM-powered and agentic AI solutions for claims intake, policy interpretation, fraud detection, and resolution workflows • Design end-to-end retrieval-augmented generation systems using enterprise knowledge bases, policy documents, SOPs, and historical claims data • Build autonomous and semi-autonomous agents for multi-step claims processes • Develop stateful workflow orchestration layers managing context, memory, and task sequencing • Implement planning and reflection loops for complex claims scenarios • Enable dynamic tool use through function calling and secure API integrations • Develop document intelligence pipelines for summarization, entity extraction, classification, validation, and timeline reconstruction • Design structured prompt frameworks and deterministic output processing • Build multi-agent systems for document review, coverage analysis, compliance checks, and decision support • Implement human-in-the-loop checkpoints, guardrails, output validation, and hallucination mitigation • Optimize token consumption, inference latency, and cloud infrastructure costs • Deploy scalable AI microservices using containerization and cloud-native architectures • Monitor model drift, retrieval quality, reasoning failures, and workflow breakdowns • Maintain audit logs of model decisions, agent reasoning steps, and tool executions • Develop evaluation frameworks for reasoning accuracy, workflow completion, and system reliability • Collaborate with data engineering on embedding pipelines, feature stores, and vector indexing • Ensure compliance with Responsible AI standards, data privacy regulations, and enterprise governance policies • Partner with claims operations leadership to embed AI into adjuster and supervisor workflows • Measure business impact through cycle-time reduction, automation coverage, fraud detection lift, and operational efficiency gains

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or related field • 5+ years of experience building production-grade AI or advanced software systems • 2–4+ years of hands-on experience with LLM-powered applications and orchestration layers • Strong expertise in retrieval-augmented generation architectures and vector search systems • Experience designing and implementing multi-agent systems and workflow orchestration engines • Deep understanding of planning loops, contextual memory, and tool-augmented LLM reasoning • Strong proficiency in Python and API-driven system design • Experience integrating enterprise platforms and building secure connectors • Familiarity with Azure OpenAI or similar enterprise LLM environments • Experience deploying containerized services and managing CI/CD pipelines • Understanding of distributed systems, microservices, and event-driven architectures • Experience implementing guardrails, access controls, and auditability mechanisms • Strong knowledge of evaluation methodologies for LLM reliability and agent performance • Experience in insurance, claims, healthcare, or other regulated industries preferred • Ability to translate complex operational workflows into scalable, AI-driven autonomous systems

🏖️ Benefits

• Work-life balance • Caring culture • Equal Opportunity Employer • Drug-Free Workplace