Sr AI Engineer, AI Engineering, LATAM
Amazon is hiring a Sr AI Engineer, AI Engineering, LATAM in São Paulo, Brazil. Level rates it ; you can apply on Level.
Level's read on this job
- Level rates this AI engineer role Builds AI ●●●●: the job is building AI systems.
- The posting mentions AWS, cloud architecture and AI engineering among its tools and skills.
- Level classes it as a senior role.
- Amazon has 22,000+ other open roles on Level.
- This posting went up in the last few days.
AI in this role
Design and deliver end-to-end AI technical solutions as a senior AI engineer partnering directly with customers.
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
- Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
- Experience in IT development or implementation/consulting in the software or Internet industries
- Experience in design, implementation, or consulting in applications and infrastructures
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.
How we rate this
Sr AI Engineer, AI Engineering, LATAM at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $184k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- Tell me about a project where cloud architecture was part of your work. What did you do?
- Tell me about a project where ai engineering was part of your work. What did you do?
- Tell me about a project where technical consulting was part of your work. What did you do?
- Tell me about a project where solution design was part of your work. What did you do?
- Walk me through how you've used AWS in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Cloud Architecture, AI Engineering, Technical Consulting, Solution Design, and AWS. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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