Generative AI Enterprise Architect

Embedded Shishya; United States; Hybrid; USD 152,000 - 220,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) with company match

Tuition reimbursement

Paid time off

Parental leave

Volunteer time

Job summary

Empower is seeking a Generative AI–Enterprise Architect to own the architectural strategy for AI capabilities across the enterprise, shaping how data, knowledge, and metadata are organized and accessed.

You will define data flows from source systems to AI-enabled interactions, set integration patterns with customer touchpoints and internal tools, and collaborate with engineering and platform teams to ensure scalable, secure AI systems.

Qualifications

• Bachelor’s degree in CS/Engineering/Data Science.
• 10+ years in data architecture or enterprise design.
• Experience owning architectural direction across teams.
• Knowledge of data platforms including Snowflake.
• Understanding of retrieval and search at scale.
• Familiarity with Generative AI and agent concepts.
• Security, governance, and access control expertise.

Responsibilities

• Own the architectural strategy for Generative AI across the enterprise.
• Define how enterprise data and metadata are organized.
• Outline data flow from sources to AI-enabled interactions.
• Set direction for embedding AI in touchpoints and tools.
• Develop Agent Framework Architecture.
• Define domain models for contextual reasoning.
• Ensure knowledge representation is versioned and maintained.
• Coordinate retrieval systems for models and contexts.
• Establish multi-step AI workflows and escalation paths.
• Assist RAI team in evaluating AI outputs.
• Drive consolidation of fragmented data/tools to coherent patterns.

Skills

Architectural leadership

Data architecture

Distributed systems

Enterprise data models

Generative AI knowledge

Security governance

Agent frameworks

Prompt injection risk

Cross-team collaboration

Education

Bachelor’s degree in CS/Engineering/Data Science

Tools

Snowflake

AWS

LLM platforms

Job description

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, indexing, and search systemsoperatingat scale
• Deepfamiliarity with Generative AIandAgentic AIconcepts 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 – 3rdParty and open source
• Abilitytodirecttheenterpriseonpromptinjection 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 recordof 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 toanticipatescaling challenges and address them before they become constraints
• Recognizedexpertisethrough targeted certifications in AWS architecture, Snowflake data platforms, or applied machine learning, withdemonstrateddepth in Generative AI platforms such as AWS Bedrock or equivalent LLM ecosystems
• Curiosity and continuous learning in a rapidly evolving technical space

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 - $220,050.00The 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.

Work 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.

***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: 09-23-2026Want 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.