Solutions Architect, LATAM CSC SA
AI in this role
We're seeking technologists who combine technical expertise with business acumen and strong communication skills to guide customers through their cloud journey—from strategy and design through successful implementation and optimization.
Key job responsibilities
- Design and present cloud architecture solutions that address customer business requirements, incorporating AWS services and best practices tailored to each organization's unique needs and constraints.
- Partner with customers and internal AWS teams to understand technical requirements, business objectives, and organizational constraints, then translate these into scalable and resilient cloud solutions.
- Guide customers through cloud adoption by educating them on best practices, migration strategies, and optimization opportunities to help them maximize value from their cloud investments.
- Evaluate and improve architectural guidance by identifying gaps in existing resources and recommending updates based on customer feedback and evolving industry practices.
- Support complex problem-solving for large-scale computing challenges, working collaboratively with customers and AWS specialists to validate solutions and overcome implementation obstacles.
A day in the life
In this role, you'll engage directly with customers to understand their business objectives and technical requirements, then architect cloud solutions that address their specific needs. You might spend your morning collaborating with a startup to design their initial cloud infrastructure, then transition to working with an enterprise team on migrating complex legacy systems to AWS. Throughout your day, you'll partner with AWS specialists and customer teams to validate architectural decisions, troubleshoot challenges, and ensure solutions align with both technical best practices and business goals. You'll also contribute to improving our architectural guidance and resources based on real-world customer experiences, helping shape how we support organizations of all sizes.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Mental Health and Well-Being (MHW), Glamazon, and Women at Amazon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Basic qualifications
- Experience with one of the following programming languages: Python, Ruby, Node.js, C#, or C++
- Experience with two or more of the following: networking fundamentals, security, storage or databases (relational or NoSQL), operating systems (Unix, Linux, or Windows)
Preferred qualifications
- Experience implementing a cloud-based technology solution
- Experience in any of the following: Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps
- Knowledge of AWS services, such as Elastic Compute Cloud (EC2), Elastic Block Storage (EBS), and Simple Storage Service (S3)
- Familiarity with AI/ML concepts and services, including generative AI, large language models, and AWS AI services such as Amazon Bedrock, Amazon SageMaker, or 3rd Party AI technologies.
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
Solutions Architect, LATAM CSC SA at Amazon rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Bedrock hands-on?
- Walk me through how you've used Sagemaker in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Bedrock and Sagemaker. 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.
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