Applied AI Architect

🕒 Outubro 4

🗽 New York – Remoto

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💵 $150.000 - $250.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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👻 Score fantasma 0%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Brillio

Brillio

1001 - 5000 funcionários

🏥 Saúde

🛡️ Seguros

📦 Logística

💰 Private Equity Round em 2019-01

Healthcare • Insurance • Logistics

Brillio é uma empresa de consultoria em tecnologia que se especializa em conduzir a transformação digital para negócios em diversas indústrias, como bancária, serviços financeiros, seguros, ciências biológicas, telecomunicações e mídia, saúde e varejo. Eles focam na transformação da experiência do cliente, dados e IA, engenharia de produtos e plataformas, e fornecem soluções de infraestrutura, nuvem e segurança. Com ênfase na engenharia de produtos digitais e aproveitando a IA generativa, a Brillio visa fornecer soluções sob medida que ajudam as empresas a prosperarem na era da IA e da disrupção tecnológica. Eles também oferecem serviços para ajudar as empresas a se adaptarem aos novos desafios tecnológicos e transformar as disrupções em vantagens competitivas.

Descrição

• Design target architectures and scalable data pipelines for enterprise AI systems • Architect ETL/ELT, feature stores, vector databases, knowledge layers, and AI data pipelines • Evaluate and select AI models based on use case, performance, cost, latency, security, and governance requirements • Design AI solutions integrating with EHRs, core banking systems, CRM platforms, data lakes, and data warehouses • Define and implement AI governance, compliance, privacy, and responsible AI frameworks • Translate regulatory requirements into concrete technical and architectural controls • Embed security, privacy, IAM, and data residency requirements • Design production environments across Azure AI Foundry, AWS Bedrock, and Google Vertex AI • Partner with AI Builders and Value Engineers from discovery through production • Establish foundations for MLOps, CI/CD, model lifecycle management, observability, monitoring, and evaluation • Move AI solutions from proof-of-concept into secure, scalable production environments

🎯 Requisitos

• Strong experience as an AI, ML, Data, Solutions, or Enterprise Architect, with hands-on experience designing and deploying AI solutions • Strong understanding of Generative AI, Agentic AI, RAG, AI orchestration, and modern AI architectures • Experience designing enterprise data architectures, pipelines, integrations, and scalable AI platforms • Experience evaluating AI models and understanding tradeoffs between commercial and open-source models, and RAG versus fine-tuning • Experience with Azure AI Foundry, AWS Bedrock, Google Vertex AI, LangGraph, and LangChain • Experience integrating AI with enterprise systems and APIs • Strong understanding of AI governance, model risk management, responsible AI, privacy, security, and regulatory compliance • Experience working within regulated environments; exposure to HIPAA, GxP/CSV, AML, Basel III, or SR 11-7 highly desirable • Experience with PHI/PII governance, data residency, VPC deployment, IAM, access control, and model inference security • Experience with production AI engineering, including CI/CD, MLOps, model registries, monitoring, observability, and evaluation frameworks • Strong communication skills and ability to translate complex technical, business, security, and regulatory requirements into clear architectural decisions

🏖️ Benefícios

• Great Place to Work® recognition • Opportunity to work with cutting-edge technologies • Opportunity to solve complex, high-impact business challenges

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