Generative AI Enterprise Architect

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Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. ***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.*** TheGenerative AI–Enterprise Architect owns the architectural strategy and key decisions for how Generative AI capabilities are built, scaled, and integrated across the enterprise. This role defines how enterprise data and knowledge are structured, accessed, and applied to support AI-driven interactions across customer experiences, internal workflows, and decision-making processes. This role is accountable for how information flows from source systems through curation, indexing, and retrieval into AI-enabled systems. Itestablishesthe patterns, constraints, and standards that govern how AIoperateswithin the enterprise, and ensures those patterns are applied consistently through close partnership with engineering and platform teams. This role continuously evolves the architecture based on real-world system behavior, adoption patterns, andemergingcapabilities, ensuring Generative AI becomes a reliable, scalable, and integral part of how the organizationoperates. What You Will Do Own the architectural strategy and key decisions for how Generative AI capabilities are designed and scaled across the enterprise Define how enterprise data, knowledge, and metadata are organized so AI systems can reliably access and use them Establish how information flows from source systems through curation, indexing, embedding, and retrieval into AI-driven interactions Set direction for how AI capabilities are embedded into customer touchpoints, internal tools, and operational workflows Develop Agent FrameworkArchitecture Define how enterprise data models and domain structures enable contextual reasoning and grounded outputs Establish how knowledge is represented, versioned, andmaintainedto ensure accuracy and relevance over time Define how retrieval systems select, rank, and deliver context to models under varying conditions Establish patterns for handling non-deterministic system behavior, including variability, ambiguity, and failure scenarios Define how orchestration layers coordinate models, data sources, APIs, and downstream systems into controlled workflows Establish patterns for multi-step AI workflows, including tool usage, execution boundaries, and escalation paths Assist the RAI team with defininghow AI outputs are evaluated for quality, consistency, and impact on downstream decisions and processes Identifyfragmentation across data, tools, and implementations and drive consolidation into coherent architectural patterns What You Will Bring 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 how structured and unstructured data is modeled, governed, and made accessible across complex systems Experience designing large-scale systems that integrate data platforms, APIs, and distributed services Practical knowledge of modern data platforms( such as snowflake )including ingestion, transformation, and consumption layers Understanding of retrieval, i

我们对未来的愿景基于这样一个理念：改变财务生活始于赋予员工改变自身生活的自由。我们拥有灵活的工作环境和流畅的职业发展路径。我们不仅鼓励内部流动，更对此加以庆祝。我们也认识到目标感、幸福感和工作与生活平衡的重要性。在Empower和我们的社区中，我们努力创造一个热情、包容的环境，我们的员工贡献数千小时志愿服务于对他们最重要的公益事业。规划你自己的道路，在帮助更多客户实现财务自由的同时发展你的职业生涯。Empower Yourself。***申请人必须获得在美国为任何雇主工作的授权。我们目前无法赞助或接管就业签证的赞助，包括CPT/OPT。***Generative AI–Enterprise Architect负责架构策略以及关于Generative AI能力如何在企业范围内构建、扩展和集成的关键决策。该角色定义企业数据和知识如何被结构化、访问和应用，以支持跨客户体验、内部工作流程和决策流程的AI驱动交互。该角色负责信息如何从源系统流经策展、索引和检索进入AI赋能系统。它建立治理AI在企业内运作的模式、约束和标准，并确保通过与工程和平台团队的紧密合作一致地应用这些模式。该角色基于真实世界的系统行为、采用模式和新兴能力持续演进架构，确保Generative AI成为组织运作方式中可靠、可扩展且不可或缺的一部分。你将做什么 拥有关于Generative AI能力如何在企业范围内设计和扩展的架构策略和关键决策 定义企业数据、知识和元数据如何组织，以便AI系统能够可靠地访问和使用它们 建立信息如何从源系统流经策展、索引、嵌入和检索进入AI驱动交互的流程 为AI能力如何嵌入客户触点、内部工具和运营工作流程设定方向 开发Agent Framework Architecture 定义企业数据模型和领域结构如何支持上下文推理和基于事实的输出 建立知识如何表示、版本化和维护以确保随时间保持准确性和相关性的方式 定义检索系统如何在变化条件下选择、排序和向模型传递上下文 建立处理非确定性系统行为的模式，包括可变性、模糊性和故障场景 定义编排层如何将模型、数据源、API和下游系统协调为受控工作流程 建立多步骤AI工作流程的模式，包括工具使用、执行边界和升级路径 协助RAI团队定义如何评估AI输出的质量、一致性以及对下游决策和流程的影响 识别数据、工具和实现中的碎片化，并推动整合为连贯的架构模式 你将带来什么 计算机科学、工程、数据科学或相关领域的学士学位 十年或以上跨数据架构、分布式系统或企业平台设计的经验 拥有架构方向并在多个团队中影响系统设计的经验 对数据架构有深入理解，包括结构化和非结构化数据如何在复杂系统中建模、治理和使其可访问 设计集成数据平台、API和分布式服务的大规模系统的经验 对现代数据平台（如snowflake）的实用知识，包括摄取、转换和消费层 对检索、i的理解

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