Enterprise AI Architect

🕒 Julho 27

🤠 Texas – Remoto

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⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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👻 Score fantasma 11%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Tiger Analytics

Tiger Analytics

1001 - 5000 funcionários

Fundada em 2011

🏥 Saúde

📦 Logística

📣 Marketing

Healthcare • Logistics • Marketing

A Tiger Analytics é uma consultoria líder em IA e analytics, especializada em aplicar ciência de dados e Machine Learning para gerar insights estratégicos de negócio em diversos setores. Oferecemos serviços de estratégia de dados, engenharia de IA e business intelligence, viabilizando a tomada de decisão orientada por dados e a transformação digital de nossos clientes. A Tiger Analytics colabora com parceiros de tecnologia de ponta, como Microsoft, Google Cloud e AWS, para entregar soluções de última geração. Atendemos a uma ampla gama de segmentos, incluindo bens de consumo embalados (CPG), saúde e serviços financeiros, ajudando as empresas a operacionalizar insights e a se diferenciar com tecnologias de IA e Machine Learning.

Descrição

• Define enterprise AI architecture, standards, and technology roadmap. • Design and deliver production-ready Generative AI and Agentic AI solutions. • Architect scalable AI platforms leveraging cloud-native technologies and modern data ecosystems. • Lead AI solution design, technical reviews, and architecture governance. • Partner with engineering, data, security, and business teams to deliver enterprise AI initiatives. • Evaluate emerging AI technologies and recommend architecture best practices. • Ensure AI solutions meet security, governance, compliance, and performance requirements. • Mentor engineering teams and drive AI adoption across the organization.

🎯 Requisitos

• - 12+ years of experience in enterprise architecture, solution architecture, or cloud architecture. • - Hands-on experience designing and implementing enterprise AI or Generative AI solutions. • - Strong understanding of LLMs, Agentic AI concepts, and modern AI application architectures. • - Experience building cloud-native solutions on AWS, Azure, or Google Cloud. • - Strong software engineering background with Python and API-based architectures. • - Experience with modern data platforms such as Snowflake, Databricks, or similar cloud data technologies. • - Experience in one or more of the following is highly desirable: • - Generative AI, Agentic AI, RAG, AI Agents • - AI orchestration frameworks (such as LangChain or LangGraph) • - Vector databases and knowledge retrieval • - AI governance, security, and Responsible AI • - Cloud AI services (AWS Bedrock, Azure OpenAI, Vertex AI) • - MLOps, CI/CD, Kubernetes, or containerized deployments • - Excellent stakeholder management and executive communication skills. • - Experience leading cross-functional technical teams and enterprise-scale initiatives.

🏖️ Benefícios

• Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. • ***Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.***

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