Generative AI Enterprise Architect

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.***

The   Generative 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. It   establishes   the patterns, constraints, and standards that govern how AI   operates   within 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, and   emerging   capabilities, ensuring Generative AI becomes a reliable, scalable, and integral part of how the organization   operates .

What You Will Do

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Own the architectural strategy and key decisions for how Generative AI capabilities are designed and scaled across the enterprise

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Define how enterprise data, knowledge, and metadata are organized so AI systems can reliably access and use them

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Establish how information flows from source systems through curation, indexing, embedding, and retrieval into AI-driven interactions

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Set direction for how AI capabilities are embedded into customer touchpoints, internal tools, and operational workflows

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Develop Agent Framework   Architecture

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Define how enterprise data models and domain structures enable contextual reasoning and grounded outputs

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Establish how knowledge is represented, versioned, and   maintained   to ensure accuracy and relevance over time

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Define how retrieval systems select, rank, and deliver context to models under varying conditions

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Establish patterns for handling non-deterministic system behavior, including variability, ambiguity, and failure scenarios

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Define how orchestration layers coordinate models, data sources, APIs, and downstream systems into controlled workflows

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Establish patterns for multi-step AI workflows, including tool usage, execution boundaries, and escalation paths

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Assist the RAI team with d efin ing   how AI outputs are evaluated for quality, consistency, and impact on downstream decisions and processes

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Identify   fragmentation across data, tools, and implementations and drive consolidation into coherent architectural patterns

What You Will Bring

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Bachelor’s degree in Computer Science , Engineering, Data Science, or a related field

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Ten or more years of experience across data architecture, distributed systems, or enterprise platform design

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Experience owning architectural direction and influencing system design across multiple teams

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Strong understanding of data architecture, including how structured and unstructured data is modeled, governed, and made accessible across complex systems

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Experience designing large-scale systems that integrate data platforms, APIs, and distributed services

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Practical knowledge of modern data platforms   ( such as snowflake )   including ingestion, transformation, and consumption layers

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Understanding of retrieval, indexing, and search systems   operating   at scale

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Deep   f amiliarity with Generative AI   and   Agentic AI   concepts including embeddings, retrieval, prompt composition,   agent memory,   and orchestration

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Ability to design systems that balance performance, scalability, cost, and operational complexity

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Strong grasp of access control, security, and governance within distributed environments

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Experience with Agent Frameworks – 3 rd   Party and open source

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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

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Ability to translate complex system behavior into clear architectural direction

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Strong decision-making skills with the ability to evaluate tradeoffs and set direction under uncertainty

What You Will Set You Apart

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Experience designing systems where AI outputs directly drive user actions, decisions, or automated workflows

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Depth in information retrieval, search systems, or large-scale knowledge architectures

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Experience working with systems where output quality, consistency, and trust were critical and actively managed

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Ability to design for ambiguity, variability, and imperfect data rather than assuming deterministic behavior

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Strong intuition for how data structure, context selection, and system design impact model outputs

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Track record   of simplifying complex, fragmented systems into clear and reusable architectural patterns

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Experience   identifying   where AI is   appropriate   and where alternative approaches produce better outcomes

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Practical understanding of how systems fail in production and how to design safeguards and fallback strategies

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Ability to   anticipate   scaling challenges and address them before they become constraints

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Recognized   expertise   through targeted certifications in AWS architecture, Snowflake data platforms, or applied machine learning, with   demonstrated   depth in Generative AI platforms such as AWS Bedrock or equivalent LLM ecosystems

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Curiosity and continuous learning in a rapidly evolving technical space

W ork Environment & Disclaimer

This job   operates   in a professional office environment.

This job description is not intended to be an exhaustive list of all duties,   responsibilities   and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may   be required   to perform other duties that are not included   on   this job description. The job description is not a contract for employment, and either you or the employer may   terminate   employment at any time, for any reason, as per terms and conditions of your employment contract.

What we offer you

We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.

• 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