GenAI Startup Architect: Embedded Founder Advisor

Amazon Web Services (AWS); San Francisco (CA); On-site; USD 177,000 - 239,000; Full time

Benefits offered by this job

RSUs

Health insurance

Job summary

Amazon Web Services, Inc. is seeking a Solutions Architect deeply embedded in San Francisco's startup ecosystem. You will design practical architectures for early-stage founders to scale, and guide them through GenAI challenges while shaping data foundations and AI services.

Expect to engage with accelerators, incubators, and VC firms. You will collaborate with product and engineering teams, create technical content, and present at startup events, sharing best practices for fast, safe, and

Qualifications

• 8+ years in technology domains such as software, cloud, systems engineering, or data & analytics.
• 3+ years designing or consulting on architectural solutions for applications and infrastructures.
• 10+ years IT development or implementation/consulting in software or Internet industries.

Responsibilities

• Design and iterate architectures with early-stage founders that scale with growth.
• Navigate GenAI landscape: foundation models, AI services, and production-ready AI products.
• Guide on model costs, latency, accuracy, safety, and best practices for GenAI apps.
• Help build data foundations: vector databases, data pipelines, RAG, and fine-tuning workflows.
• Build relationships within SF startup ecosystem with accelerators, incubators, and VCs.
• Relay founder feedback to product/engineering to shape tools and services.
• Create technical content and sample code to help founders move faster.
• Share expertise at startup events, demo days, and developer meetups.

Skills

Experience in cloud architecture

Architectural design

IT development & implementation

Tools

AWS

Cloud tooling

Job description

Amazon Web Services, Inc. is seeking a Solutions Architect deeply embedded in San Francisco's startup ecosystem. You will design practical architectures for early-stage founders to scale, and guide them through GenAI challenges while shaping data foundations and AI services.

Expect to engage with accelerators, incubators, and VC firms. You will collaborate with product and engineering teams, create technical content, and present at startup events, sharing best practices for fast, safe, and