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.

The AI Solution Architect defines solution architecture for enterprise AI initiatives and guides teams through secure, scalable, and compliant implementation patterns. The role translates business needs into architecture decisions covering applications, data, models, integration, security, operations, and governance.

ESSENTIAL FUNCTIONS:

• Create target-state and solution architecture for AI use cases, including application, data, integration, security, operational, and deployment views.
• Define and review reusable architecture patterns for LLM-enabled applications, RAG, AI agents, workflow automation, and model consumption.
• Partner with cybersecurity, privacy, data, platform, and governance teams to ensure solutions meet enterprise standards and regulatory expectations.
• Assess technology options, identify risks, document decisions, and guide delivery teams through architecture governance.
• Support vendor and platform evaluations, design reviews, technical discovery, and implementation planning.
• Contribute to architecture standards, reference patterns, and design documentation for enterprise AI capabilities.

Education: University or College education in Computer Science, Engineering, Data/Analytics, Business/Technology, Risk/Governance, or related field; equivalent experience considered.

Experience and skills:

• Experience in solution architecture, application architecture, cloud architecture, or enterprise technology design.
• Strong understanding of Azure, APIs, integration patterns, identity, data platforms, application security, and operational readiness.
• Working knowledge of LLM-enabled applications, RAG, AI agents, model risk considerations, AI governance, and responsible AI controls is preferred.
• Ability to produce clear architecture artifacts and communicate design trade-offs to both technical and business audiences.
• Strong stakeholder management, facilitation, documentation, and decision-making skills.

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, 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.