Generative AI Enterprise Architect

About the role

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   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 Framework   Architecture   Define how enterprise data models and domain structures enable contextual reasoning and grounded outputs   Establish how knowledge is represented, versioned, and   maintained   to 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 d efin ing   how AI outputs are evaluated for quality, consistency, and impact on downstream decisions and processes   Identify   fragmentation 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, indexing, and search systems   operating   at scale   Deep   f amiliarity with Generative AI   and   Agentic AI   concepts including embeddings, retrieval, prompt composition,   agent memory,   and orchestration   Ability to design systems that balance performance, scalability, cost, and operational complexity   Strong grasp of access control, security, and governance within distributed environments   Experience with Agent Frameworks – 3 rd   Party and open source   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   What You Will Set You Apart   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 working with systems where output quality, consistency, and trust were critical and actively managed   Ability to design for ambiguity, variability, and imperfect data rather than assuming deterministic behavior   Strong intuition for how data structure, context selection, and system design impact model outputs   Track record   of simplifying complex, fragmented systems into clear and reusable architectural patterns   Experience   identifying   where AI is   appropriate   and where alternative approaches produce better outcomes   Practical understanding of how systems fail in production and how to design safeguards and fallback strategies   Ability to   anticipate   scaling challenges and address them before they become constraints   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   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 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. Base Salary Range $151,800.00 - $220,050.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Equal opportunity employer •  Drug-free workplace We are an equal opportunity employer with a commitment to diversity.  All individuals, regardless of personal characteristics, are encouraged to apply.  All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.  ***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.*** Job Posting End Date at 12:01 am on: 09-08-2026 Want the latest money news and views shaping how we live, work and play? Stay in the know with The Currency  and sign up for Empower’s free newsletter.