GenAI Solutions Architect: Bedrock & AWS GTM

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

Job summary

Amazon Web Services, Inc. in Seattle seeks a GenAI-focused professional to help customers build and deploy GenAI-enabled applications using Bedrock and AWS services.

You will influence product direction by engaging with product owners and guiding enterprise teams toward GenAI-powered solutions. The role includes developing architectural blueprints, whitepapers, and samples; driving thought leadership through blogs and talks; and collaborating with SAs, Sales, and AI/ML teams to accelerate

Qualifications

• Bachelor's degree in computer science, engineering, mathematics or equivalent.
• 10+ years of experience across technology domains (software, cloud, infrastructure, security, data & analytics).
• Experience communicating with technical and non-technical audiences, including C-level executives.

Responsibilities

• Customer Advisor: implement and deploy state-of-the-art ML algorithms under Gen AI; build prototypes and PoCs; engage with customers and academia.
• Thought Leadership: evangelize AWS GenAI services; share best practices via blogs, whitepapers, reference architectures, and public speaking at events.
• Partner with SAs, Sales, BD and AI/ML Service teams to accelerate customer adoption and provide engagement guidance.
• Develop and support a global internal ML community; create enablement materials for the field population.

Skills

Cloud computing

Software development

Data & analytics

Education

Bachelor's degree in CS/engineering/math

Job description

Amazon Web Services, Inc. in Seattle seeks a GenAI-focused professional to help customers build and deploy GenAI-enabled applications using Bedrock and AWS services.

You will influence product direction by engaging with product owners and guiding enterprise teams toward GenAI-powered solutions. The role includes developing architectural blueprints, whitepapers, and samples; driving thought leadership through blogs and talks; and collaborating with SAs, Sales, and AI/ML teams to accelerate