Solutions Architect, LATAM CSC SA

Amazon is hiring a Solutions Architect, LATAM CSC SA for a remote role open to applicants in Colombia. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this solutions architect role Works on AI ●●●○: the daily work is on AI products, without building the model.
This is listed as a remote role.
The posting mentions Bedrock, SageMaker and AWS among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

As a Solutions Architect in LATAM, you will help enterprise customers design cloud solutions, modernize applications, and leverage GenAI and Agentic AI.

BedrockSageMakerAWSPythonKubernetes

cloud-architecturegenaiagentic-aimigration

Do you get energized helping customers solve complex problems—not just on a whiteboard, but by building alongside them?

We're looking for a Solutions Architect to join our CSC LATAM team, working with SMB/Enterprise customers across the full breadth of their cloud journey. You'll help customers migrate to the cloud, modernize legacy applications and databases, build cloud-native solutions, and explore how GenAI & Agentic AI can drive their business forward.

We value practitioners—people whose judgment is grounded in real-world experience building and shipping solutions. You'll partner hands-on with customers, turning ideas into working prototypes and production-ready architectures. Whether the challenge is a complex migration, a legacy modernization, a greenfield application, or helping a customer understand how AI can transform their business—you'll bring curiosity, technical depth, and a bias for action.

If you thrive in ambiguity, adapt quickly when priorities shift, and measure your success by the outcomes you help customers achieve—we'd love to hear from you.

We value diversity in all its forms — we believe that teams made up of people with different backgrounds, experiences, perspectives, and ways of thinking are more creative, innovative, and resilient. Here, every voice matters and contributes to our collective growth.

Key job responsibilities
- Partner with enterprise customers to design, build, and implement solutions across cloud adoption, migration, modernization, and new workloads
- Work hands-on with customer and partner teams—building prototypes, proofs of concept, and production-ready architectures together
- Guide customers through cloud migrations—helping them move workloads efficiently and securely
- Help customers explore how AI and emerging technologies can enhance their applications, operations, and customer experiences
- Share knowledge broadly through workshops, technical content, and community engagement

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
You'll be part of the AWS CSC Solutions Architecture team. We work with enterprise customers across industries—helping them adopt cloud, migrate and modernize their technology landscape, adopt AI, and build for the future. Our team values builders who are curious, collaborative, and customer-obsessed. We learn from each other, support each other's growth, and celebrate diverse perspectives. Whether you're presenting to executives or coding alongside engineers, you'll find a team that values both technical depth and human connection.

Basic qualifications

- Experience in English-language communication skills, both written and verbal
- Experience in specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, networking, data and analytics
- Knowledge of cloud computing concepts and design considerations
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
- Knowledge of programming or other scripting languages and coding skills (C/C++/C#, Node.JS, Java, Python, PHP, Ruby)

Preferred qualifications

- Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
- Hands-on experience with AWS services (EC2, Containers, S3, EBS, Serverless). Desirable knowledge of AWS AI/ML services such as Amazon Bedrock, Amazon SageMaker, Amazon Quick, Amazon Rekognition, Amazon Comprehend, Amazon Transcribe, etc.
- AWS certifications or Contributions to the technical community through speaking, writing, or open source.
- AI/ML certifications: AWS Certified AI Practitioner. Equivalent certifications from other cloud providers are also welcome.

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 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Solutions Architect, LATAM CSC SA is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in CO, Bogota and is marked remote.
The job was posted on September 17, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Cloud ArchitectureGenAIAgentic AIMigrationBedrockSageMakerAWSPython

Also common in solutions architect jobs at this level

Azure Google Cloud SQL AI agents RAG Kubernetes

Pay

Typical solutions architect job: $169k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect 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 genai was part of your work. What did you do?
Tell me about a project where agentic ai was part of your work. What did you do?
Tell me about a project where migration was part of your work. What did you do?
Walk me through how you've used Bedrock in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Cloud Architecture, GenAI, Agentic AI, Migration, and Bedrock. 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.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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