Generative AI Enterprise Architect

🔥 11 horas atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $151.800 - $220.050 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

💻 Suporte de TI

🦅 Patrocina Visto H1B

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Empower

10.000+ funcionários

💸 Finanças

💳 Fintech

👥 B2C

Finance • Fintech • B2C

A Empower é uma fornecedora líder de serviços financeiros focada em ajudar indivíduos e organizações a alcançar a liberdade financeira através do planejamento de aposentadoria e da gestão de investimentos. Atendendo a mais de 19 milhões de americanos, a Empower oferece um conjunto abrangente de serviços relacionados a finanças, incluindo planejamento inteligente e aconselhamento de investimento, além de ferramentas como o Empower Personal Dashboard™ para uma visão financeira completa. A empresa é renomada como uma das principais provedoras de planos de aposentadoria e trabalha de perto com investidores pessoais, poupadores de planos no local de trabalho, patrocinadores de planos e profissionais financeiros. A Empower também é reconhecida por suas iniciativas em Diversidade, Equidade, Inclusão e tem um compromisso social que fortalece o impacto na comunidade.

Descrição

• Define the architectural strategy for Generative AI, LLM, and AI platform capabilities across the enterprise • Shape how enterprise data, knowledge, and metadata are structured and accessed for AI-driven use cases • Establish patterns for how data flows across ingestion, transformation, indexing, embeddings, and retrieval • Guide how AI systems handle ambiguity, variability, and non-deterministic behavior • Influence how models, data sources, APIs, and workflows are orchestrated into scalable systems • Establish how AI systems are evaluated, observed, and operated in production, including output quality, system behavior, and reliability.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field • 10+ years of experience in data architecture, AI/ML systems, or distributed platform design • Experience setting architectural direction and influencing system design across teams • Strong background in data modeling, data pipelines, and large-scale data systems • Understanding of retrieval, search, and indexing systems, along with Generative AI architectures including LLMs, embeddings, RAG, tool-calling agents, API integration, human-in-the-loop approvals, agent identity, multi-agent patterns, MCP and A2A-style integrations, and controlled autonomy • Experience with modern data and cloud platforms, especially AWS and Snowflake, including Bedrock, vector databases, hybrid search, APIs, event-driven architecture, IAM, observability, CI/CD, infrastructure as code, and model selection across LLMs, SLMs, and multimodal models • Ability to design systems that balance scalability, performance, cost, and operational complexity.

🏖️ Benefícios

• Medical, dental, vision and life insurance • Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup • Tuition reimbursement up to $5,250/year • Business-casual environment that includes the option to wear jeans • Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year • Paid volunteer time — 16 hours per calendar year • Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) • Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.

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