Senior Applied/Agentic AI Engineer

🕒 Junho 11

🏈 Alabama, Arizona, +24 estados a mais – Remoto

🏈 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

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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👻 Score fantasma 55%

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Sedgwick

SiteLinkedInTodas as Vagas

10.000+ funcionários

🏗️ Construção

💼 Consultoria

🏥 Saúde

Construction • Consulting • Healthcare

A Sedgwick é uma fornecedora global de soluções de tecnologia para riscos, benefícios e negócios integrados. Eles ajudam pessoas e organizações a gerenciar e mitigar riscos com soluções em administração de sinistros de acidentes, saúde, invalidez, compensação por desemprego e responsabilidade, entre outros. A Sedgwick oferece serviços como administração de sinistros, consultoria de construção, contabilidade forense e engenharia forense. Suas especialidades incluem restauração de propriedades, proteção de marcas e prevenção de perdas em vários setores, incluindo agricultura, construção e setores ambientais. A empresa enfatiza diversidade, equidade e inclusão (DEI) e práticas ambientais, sociais e de governança (ESG).

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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