Director of Specialist AI & Data Solutions Architecture

Amazon

Seattle (WA)

On-site

USD 241,000 - 326,000

Full time

14 days+

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Job summary

Amazon Web Services (AWS) seeks a visionary leader to build and scale a NAMER specialist Solutions Architect organization across North America. You will lead, grow, and inspire a large team of specialists in AI/ML, data, migration, and modernization, partnering with service teams, field sales, and cross-functional partners to deliver customer outcomes at scale.

This role requires deep domain expertise and a proven ability to attract top talent, while shaping a culture that rewards specialization

Qualifications

Bachelor's degree in computer science, engineering, or equivalent relevant technical experience.
Leadership experience in a deep technical, customer-facing role in the technology industry, with demonstrated expertise in one or more of: AI/ML, generative AI, data and analytics, cloud infrastructure, migration, or modernization.
People-management experience, including managing and developing other managers (leader of leaders) in specialist or domain-expert organizations.
Proven ability to attract and retain top technical talent, and to build organizations where domain depth is valued and specialists thrive.

Responsibilities

Lead, coach, and grow a large, geographically distributed team of specialist Solutions Architects and SA managers across North America, building an organization recognized as the premier destination for deep domain experts in AI/ML, generative AI, data and analytics, migration, modernization, security, networking, and compute.
Define and execute the NAMER specialist solutions strategy aligned to a Domain-First, Division-Enabled operating model, ensuring deep domain expertise is the foundation, while enabling cross-domain collaboration and scale through shared mechanisms, tooling, and operational excellence.
Attract, hire, develop, and retain world-class specialist talent by establishing compelling career paths that reward deep domain mastery, creating an environment of continuous learning, and building a leadership bench that represents the best in their respective technical fields.