Generative AI Architect

Vaga não está no LinkedIn

🕒 Agosto 5

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $151.800 - $220.050 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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👻 Score fantasma 48%

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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

• Own the architectural strategy and key decisions for designing and scaling Generative AI capabilities across the enterprise • Define how enterprise data, knowledge, and metadata are organized for reliable AI access and use • Establish information flows from source systems through curation, indexing, embedding, and retrieval into AI-driven interactions • Set direction for embedding AI capabilities into customer touchpoints, internal tools, and operational workflows • Develop Agent Framework architecture • Define enterprise data models and domain structures enabling contextual reasoning and grounded outputs • Establish how knowledge is represented, versioned, and maintained for accuracy and relevance • Define how retrieval systems select, rank, and deliver context to models • Establish patterns for non-deterministic behavior, including variability, ambiguity, and failure scenarios • Define orchestration layers coordinating models, data sources, APIs, and downstream systems into controlled workflows • Establish patterns for multi-step AI workflows, tool usage, execution boundaries, and escalation paths • Assist the RAI team in defining evaluation of AI outputs for quality, consistency, and downstream impact • Identify fragmentation across data, tools, and implementations and drive consolidation into coherent architectural patterns

🎯 Requisitos

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field • Ten or more years of experience across data architecture, distributed systems, or enterprise platform design • Experience owning architectural direction and influencing system design across multiple teams • Strong understanding of data architecture, including structured and unstructured data modeling, governance, and accessibility across complex systems • Experience designing large-scale systems integrating data platforms, APIs, and distributed services • Practical knowledge of modern data platforms such as Snowflake, including ingestion, transformation, and consumption layers • Understanding of retrieval, indexing, and search systems operating at scale • Deep familiarity with Generative AI and Agentic AI concepts, including embeddings, retrieval, prompt composition, agent memory, and orchestration • Ability to design systems balancing performance, scalability, cost, and operational complexity • Strong grasp of access control, security, and governance within distributed environments • Experience with third-party and open-source Agent Frameworks • Ability to direct the enterprise on prompt injection risk, data leakage, least privilege, auditability, DLP, model risk controls, regulatory expectations, and safe use of agents connected to enterprise systems • Ability to translate complex system behavior into clear architectural direction • Strong decision-making skills with the ability to evaluate tradeoffs and set direction under uncertainty • Experience designing systems where AI outputs directly drive user actions, decisions, or automated workflows • Depth in information retrieval, search systems, or large-scale knowledge architectures • Experience managing output quality, consistency, and trust • Ability to design for ambiguity, variability, and imperfect data • Strong intuition for how data structure, context selection, and system design impact model outputs • Track record of simplifying complex, fragmented systems into reusable architectural patterns • Experience identifying where AI is appropriate and where alternative approaches produce better outcomes • Practical understanding of production failures and safeguard/fallback strategies • Ability to anticipate scaling challenges • Targeted certifications in AWS architecture, Snowflake data platforms, or applied machine learning are recognized as expertise • Demonstrated depth in Generative AI platforms such as AWS Bedrock or equivalent LLM ecosystems • Applicants must be authorized to work for any employer in the U.S.; no employment visa sponsorship, including CPT/OPT • Reliable high-speed internet with a wired connection and an adequate home workspace for remote work

🏖️ 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) • Bonus program opportunity for non-sales positions • Other necessary computer equipment will be provided

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