GenAI Solutions Architect - Bedrock & Data AI GTM

Amazon; Seattle (WA); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services, Inc. seeks a Worldwide Specialist Solutions Architect to lead GenAI GTM for Bedrock, Data & AI. You will design GenAI solutions, help customers deploy Bedrock and SageMaker, and influence product direction with executives and engineers.

You will collaborate with AWS teams, craft reference architectures, and create field enablement materials. Travel up to 30% is possible, enabling large-scale GenAI use cases across geographies.

Qualifications

• 7+ years of technology experience in software development, cloud computing, systems engineering, or data analytics.
• Bachelor's degree in computer science, engineering, mathematics or equivalent.
• Experience evangelising end-to-end technology roadmaps and IT transformations toward cloud adoption.
• Experience communicating across technical and non-technical audiences at executive level.

Responsibilities

• Customer Advisor- implement and deploy state-of-the-art ML solutions under Gen AI with prototypes and PoCs.
• Thought Leadership- advocate for AWS GenAI services through blogs, white-papers, reference architectures, and events.
• Partner with Data Scientists, SAs, Sales, and Gen AI Service teams to accelerate customer adoption and guidance.
• Act as a technical liaison to provide customer-driven product improvement feedback.
• Develop internal GenAI communities and field enablement materials for AWS GenAI solutions.

Skills

7+ years exp

Solution development

Executive communication

GenAI experience

Cloud computing

LLM/GenAI tools

Education

Bachelor's in CS/Engineering/Math or equivalent

Tools

LangChain

LLAMAIndex

Data Augmentation

Performance Evaluation

Job description

Amazon Web Services, Inc. seeks a Worldwide Specialist Solutions Architect to lead GenAI GTM for Bedrock, Data & AI. You will design GenAI solutions, help customers deploy Bedrock and SageMaker, and influence product direction with executives and engineers.

You will collaborate with AWS teams, craft reference architectures, and create field enablement materials. Travel up to 30% is possible, enabling large-scale GenAI use cases across geographies.