Opportunities in Bogotá, Colombia

Full Job Description

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.

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)