Principal AI Systems Architect

Amazon Web Services (AWS); San Francisco (CA); On-site; USD 230,000 - 311,000; Full time

Job summary

Amazon.com Services LLC's AWS Applied AI Solutions is hiring Principal, Senior, and Distinguished Engineers to design and ship finished AI solutions at enterprise scale.

You will lead end-to-end architectures, mentor engineers, and drive strategic technical decisions across multiple AI domains, including health, supply chain, and customer engagement, with a strong emphasis on correctness and scalable systems.

Qualifications

• 10+ years of design and development engineering experience.
• Experience collaborating across multiple organizations and influencing key outcomes.
• Experience as a technical leader of multiple concurrent projects, driving strategic technical decisions.

Responsibilities

• Deliver strategic technical projects and design new software systems at scale
• Lead architecture and engineering strategy for enterprise AI solutions across multiple domains
• Mentor and guide engineers while solving complex technical challenges hands-on
• Work cross-functionally with Principal Engineers and teams across AWS Applied AI Solutions
• Scout and recruit top technical talent, actively growing the engineering community
• Drive a strong engineering excellence and operational culture across all products and teams
• Shape technical direction for systems critical to shipping finished AI solutions to enterprise customers
• Balance technical expertise with strong analytical skills to make informed architectural decisions

Skills

Big data systems

Analytics

Containerized microservices

Serverless functions

Event-driven architecture

Job description

Amazon.com Services LLC's AWS Applied AI Solutions is hiring Principal, Senior, and Distinguished Engineers to design and ship finished AI solutions at enterprise scale.

You will lead end-to-end architectures, mentor engineers, and drive strategic technical decisions across multiple AI domains, including health, supply chain, and customer engagement, with a strong emphasis on correctness and scalable systems.