GenAI Bedrock Solutions Architect – Global GTM

Amazon; Seattle (WA); On-site; USD 183,000 - 247,000; Full time

Job summary

Amazon is seeking a Principal Worldwide Specialist Solutions Architect for Amazon Bedrock, Data & AI GTM in Seattle. You will help customers build GenAI-enabled applications using Bedrock and guide enterprise GenAI adoption with AWS services, contributing blueprints, whitepapers and solutions across a global scope.

You will work with executives and practitioners, evangelize GenAI best practices, and develop internal ML expertise while aligning architecture guidance with cost, security and

Qualifications

• 10+ years of specific technology domain areas experience such as software development, cloud computing, systems engineering, infrastructure or data & analytics.
• Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications.
• Bachelor's degree in computer science, engineering, mathematics or equivalent.

Responsibilities

• Customer Advisor- Implement and deploy state of the art machine learning algorithms under Gen AI. Build prototypes, PoCs, and explore new solutions.
• Thought Leadership– Evangelize AWS GenAI services and share best practices through forums, blogs, white-papers and public-speaking events.
• Partner with SAs, Sales, Business Development and AI/ML Service teams to accelerate customer adoption and guide engagements.
• Develop and support an AWS internal community of ML experts worldwide; create enablement materials for the broader SA population.

Skills

10+ years experience

C-level communication

GenAI experience

Cloud computing

Education

Bachelor's degree in CS/Engineering/Math

Job description

Amazon is seeking a Principal Worldwide Specialist Solutions Architect for Amazon Bedrock, Data & AI GTM in Seattle. You will help customers build GenAI-enabled applications using Bedrock and guide enterprise GenAI adoption with AWS services, contributing blueprints, whitepapers and solutions across a global scope.

You will work with executives and practitioners, evangelize GenAI best practices, and develop internal ML expertise while aligning architecture guidance with cost, security and