Are you passionate about helping customers solve complex technical challenges? As a Sr AI Engineer at Amazon, you will partner directly with customers to design and deliver technical solutions that drive real business outcomes — from reducing costs to launching new products. You will combine your technical depth with business understanding to architect solutions that are secure, scalable, reliable, and performant. This role puts you at the intersection of technology and business strategy, where your recommendations shape how customers build and grow on our platforms. If you are a collaborative problem-solver who thrives on translating ambiguous requirements into well-architected designs, we want to hear from you.
Key job responsibilities
- Design end-to-end technical solutions for customers by understanding their business context, outcome priorities, and technology challenges, while applying sound judgment on trade-offs such as load distribution, data store choice, scaling strategy, and failover mechanisms.
- Serve as a trusted technical advisor to customers, diving deeply into technical details, identifying opportunities and risks, and contributing to constructive discussions that improve their experience with our technologies.
- Leverage existing design patterns and reusable architectures where appropriate, and create new solution designs with potential for future reuse across the organization when existing patterns do not fit.
- Develop and deliver technical content including presentations, workshops, and written guidance that incorporates lessons learned from customer engagements, and share best practices with both technical and non-technical audiences.
- Collaborate with internal teams across sales, engineering, professional services, and support to progress customer opportunities, identify product gaps, and translate customer feedback into actionable technical requirements.
A day in the life
You start your morning reviewing a customer's architecture proposal, identifying areas where the design can be simplified or made more resilient. By midday, you are leading a working session with a customer's engineering team, whiteboarding a migration strategy and walking through the implications of different approaches. In the afternoon, you might join a peer design review with fellow architects, contribute feedback on a colleague's solution, or draft a reusable reference architecture based on a pattern you recently delivered.
About the team
Our team of Solutions Architects works closely with customers to turn complex technical problems into practical, well-designed solutions. We are a collaborative group that values knowledge sharing, peer reviews, and continuous learning. Our mission is to help customers succeed by meeting them where they are and guiding them toward architectures that support their long-term goals. We are focused on building an inclusive environment where every team member's perspective strengthens the solutions we deliver and the customers we serve.
Basic qualifications
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
Preferred qualifications
- Experience working within software development or Internet-related industries
- Experience migrating or transforming legacy customer solutions to the cloud
- Experience working with AWS technologies from a dev/ops perspective
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Staff AI Engineer (Remote Eligible)
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