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Principal Architect – AI

🕒 Outubro 21

🐊 Florida – Remoto

infoinfo

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

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Vista pela primeira vez pelo Remote Rocketship Outubro 21

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Sedgwick

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

• Own and set the enterprise Generative AI and Agentic AI architecture vision and multi-year roadmap • Chair or co-lead executive architecture and AI governance forums • Direct the enterprise intelligence layer strategy, including reference architectures, standards, reusable patterns, and platform capabilities • Define and govern the enterprise agentic AI strategy and platform blueprint • Establish patterns for multi-agent orchestration, reasoning, tool use, memory, human-in-the-loop controls, observability, fail-safes, and model/agent lifecycle management • Set enterprise standards for GenAI and agentic solutions across AWS and Azure • Own the enterprise Retrieval-Augmented Generation strategy and common frameworks • Establish standards for knowledge governance, content provenance, permissions, lineage, data quality, and approved knowledge sources • Define integration patterns connecting AI solutions with legacy platforms and modern cloud services • Partner with Enterprise Architecture, Infrastructure, and Platform teams on identity, networking, monitoring, disaster recovery, and service management • Define shared enterprise data architectures, ontologies, governance models, and operating practices with data, analytics, and platform teams • Establish standards for AI-ready data products, metadata, semantic layers, and data quality thresholds • Serve as executive technical authority to security, risk, legal, compliance, and audit stakeholders • Establish practices for model governance, evaluation, red teaming, bias mitigation, explainability, and controls • Lead the AI architecture portfolio and prioritize capabilities and investments • Define success metrics and track value realization • Partner with Technology and Business leadership to transition AI initiatives into production operations • Build and develop enterprise AI architecture talent, coach senior architects, and create communities of practice • Influence platform/tooling decisions, vendor strategy, and ecosystem partnerships • Represent the organization as a senior AI architecture leader in executive engagements and transformation initiatives • Perform other duties as assigned • Travel as required

🎯 Requisitos

• Master’s degree in AI, Machine Learning, Computer Science, Engineering, or a quantitative discipline from an accredited college or university preferred • Ten (10+) years of related, progressive experience in enterprise architecture, platform architecture, or large-scale solution architecture • Seven (7+) years leading delivery and/or architecture of enterprise-scale GenAI, RAG, and Agentic AI capabilities in complex corporate environments • Equivalent combination of education and experience accepted • Executive-level expertise with AWS AgentCore and Azure AI Agent Service • Deep mastery of agentic frameworks such as LangGraph and CrewAI • Experience establishing enterprise AI governance, driving cross-LOB adoption, and operationalizing AI solutions within security, risk, and compliance constraints • Ability to drive alignment and decision-making with executive stakeholders across Technology, Security, Risk, Legal/Compliance, and Lines of Business • Expert ability to bridge Data Science, AI Engineering, and Enterprise Architecture • Advanced mastery of Python, SQL, and PySpark • Deep expertise in vector stores such as Pinecone, OpenSearch, and Azure AI Search • Expertise in LLM platforms and AI/ML lifecycle management • Proven leadership in AWS and Azure enterprise environments • Strong functional exposure to Palantir Foundry/AIP • Demonstrated success operating within a Transformation Office or enterprise innovation function • Ability to translate architecture decisions into measurable outcomes, cost efficiency, operational resilience, and risk reduction • Ability to work in a team environment • Ability to meet or exceed Performance Competencies

🏖️ Benefícios

• Work-life balance • Reasonable accommodations when applicable and appropriate • Equal Opportunity Employer • Drug-Free Workplace

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