Senior Solutions Architect

4 weeks ago

London, Greater London, United Kingdom Amazon Full time
Job Description

Amazon is seeking a highly skilled Senior Solutions Architect to join our Data and AI team. As a key member of our team, you will be responsible for guiding customers in innovating, operationalizing, and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production.

The ideal candidate will have multiple years of experience in designing and implementing distributed applications, managing technical customer-facing resources, and hands-on experience with AI/ML or related technology domains. You will also have experience with Python to analyze datasets, train, evaluate, deploy, and optimize models.

Key Responsibilities:

  • Represent the voice of the customer and collaborate with field and central teams to bring customer feedback to product teams.
  • Provide advanced technical knowledge to aligned GTM teams to unblock customers' largest and most critical business challenges.
  • Own the technical bar for specialist technical artifacts and standards.
  • Collaborate with GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements.
  • Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures, and public-speaking events.
  • Guide and support an AWS internal community of technical subject matter experts aligned to customers.

About the Team

The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers. We work backwards from our customer's most complex and business-critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses.

Basic Qualifications

Multiple years of design/implementation/consulting experience of distributed applications

Multiple years of management of technical, customer-facing resources

Multiple years of hands-on experience with AI/ML or related technology domains

Multiple years of hands-on experience with building ML/data pipelines, data engineering, or similar technologies

Multiple years of experience with Python to analyze datasets, train, evaluate, deploy, and optimize models

Preferred Qualifications

History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises

Experience migrating or transforming legacy customer solutions to the cloud

Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers

Familiarity with common enterprise services and working knowledge of software development tools and methodologies

AWS Solution Architecture certification or relevant cloud expertise

Demonstrated ability to adapt to new technologies and learn quickly

Computer Science/related degree and/or experience highly desired

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