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Generative AI Enterprise Architect

EmpowerUnited States🌍 Remote
Full-timeSenior
$152k - $220k
per year
👁️ 0 views📝 0 applicationsPosted 9/5/2026Expires 11/4/2026
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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 metad

Required Skills

Generative AIarchitectural strategyenterprise dataknowledge managementAI-driven interactionsinternal workflowsdecision-making processesinformation flowcurationindexingretrievalengineeringplatform teams

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