Sr. Prototyping Architect, PACE, AWS Prototyping and Cloud Engineering

📍 Job Overview

Job Title: Sr. Prototyping Architect, PACE, AWS Prototyping and Cloud Engineering

Company: Amazon

Location: Bogotá, D.C., Colombia

Job Type: Full-time

Category: Cloud Engineering / Solutions Architecture / Prototyping

Date Posted: January 29, 2026

Experience Level: 10+ Years

Remote Status: On-site

🚀 Role Summary

• Spearhead the design, development, and implementation of innovative prototypes leveraging cutting-edge cloud technologies, including Machine Learning, Deep Learning, Generative AI, IoT, and Serverless Architectures.

• Act as a Solutions Architect, partnering closely with customers to understand their unique challenges and opportunities, and to demonstrate the art of the possible with AWS.

• Apply rigorous software engineering best practices to ensure prototypes are robust, scalable, and can serve as a foundation for production-ready solutions.

• Foster a creative and experimental environment, embracing high-judgment failures as learning opportunities to accelerate innovation and customer impact.

• Engage deeply with customers and internal AWS service teams to align customer requirements with AWS product roadmaps, driving platform evolution.

📝 Enhancement Note: This role is described as a "Sr. Prototyping Architect" within AWS's "PACE" (Prototyping, Architecture, Cloud Engineering) team. This suggests a highly technical, hands-on role focused on innovation and customer enablement through rapid development of proof-of-concepts and advanced solutions on AWS. The emphasis on "art of the possible" and "experimenting with new ideas" points towards a GTM (Go-To-Market) enablement function rather than pure product development. The role requires a blend of deep software engineering skill and customer-facing consulting.

📈 Primary Responsibilities

• Architect, develop, test, and implement loosely coupled distributed software solutions that address complex customer challenges.

• Research and integrate up-to-date technological advancements, particularly in AI/ML, IoT, and serverless computing, into customer prototypes.

• Collaborate with customers to understand their business objectives and technical requirements, translating them into actionable prototype designs.

• Drive the adoption and effective utilization of the AWS platform by aligning customer needs with the capabilities and future roadmap of AWS services.

• Author and contribute to AWS customer-facing publications, including white papers, tutorials, and blog posts, to share expertise and best practices.

• Engage in deep-dive educational sessions and design exercises to build world-class solutions on AWS with customers.

• Participate in customer engagements that focus on research, development, and innovation initiatives.

• Present technical solutions and prototype demonstrations to diverse audiences, including technical teams and business stakeholders.

📝 Enhancement Note: The core responsibilities highlight a dual focus on technical execution (architecting, developing, testing) and customer engagement/enablement (researching, aligning requirements, authoring publications). The emphasis on "loosely coupled distributed software solutions" and "customer engagements" points to a GTM focus where prototypes are built to showcase capabilities and drive adoption, rather than internal product development.

🎓 Skills & Qualifications

Education:

Experience:

• A minimum of 10+ years of IT development, implementation, or consulting experience within the software or internet industries is required.

• At least 8+ years of experience in specific technology domain areas, such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics.

Required Skills:

• Software Development: Proficiency in designing, coding, testing, and deploying various software solutions.

• Cloud Computing (AWS): Deep understanding of AWS services, architecture patterns, and best practices.

• Prototyping & Innovation: Proven ability to rapidly develop proof-of-concepts and prototypes for new technologies and solutions.

• Customer Engagement & Consulting: Skill in understanding customer needs, translating them into technical solutions, and presenting them effectively.

• Distributed Systems Architecture: Experience in designing and implementing scalable, resilient, and loosely coupled distributed systems.

• Agile Methodologies: Experience working in an agile development environment, emphasizing rapid iteration and collaboration.

Preferred Skills:

• Machine Learning/Deep Learning/Generative AI: Hands-on experience with developing and deploying ML/DL models and applications.

• IoT & Serverless Architectures: Expertise in designing and implementing solutions using IoT devices and serverless computing paradigms.

• Infrastructure Architecture: Experience in designing robust, scalable, and highly available infrastructure, including server, load balancing, HA/DR, and storage architectures.

• Database Architecture: Knowledge of various database technologies and architectural patterns.

• Networking: Understanding of network protocols, design, and security principles.

• Technical Writing: Ability to author clear and concise technical documentation, blogs, and white papers.

• Collaboration & Communication: Excellent interpersonal skills for effective collaboration with internal teams and external customers.

📝 Enhancement Note: The "Basic Qualifications" heavily emphasize years of experience across broad IT domains and specific application/infrastructure experience. The "Preferred Qualifications" are crucial for this role, highlighting advanced architectural skills and specific technology areas like ML, IoT, and serverless, which are core to the prototyping aspect. The experience requirements suggest this is a senior-level position demanding significant hands-on expertise.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Prototype Case Studies: Showcase examples of developed prototypes, detailing the problem addressed, the technologies used (especially AWS services, ML, IoT, Serverless), the development process, and the key outcomes or insights generated.

• Architecture Diagrams: Provide clear and concise diagrams illustrating the design of distributed systems, cloud architectures, and prototype solutions, demonstrating understanding of scalability, reliability, and security.

• Code Samples (Optional but Recommended): If possible, provide links to well-documented code repositories or snippets that demonstrate proficiency in relevant programming languages and adherence to software engineering best practices.

• Customer Engagement Examples: Illustrate instances where you've partnered with customers to understand requirements, co-create solutions, and demonstrate technical capabilities.

Process Documentation:

• Workflow Design & Optimization: Document processes followed for understanding customer needs, ideating solutions, and designing prototype architectures, emphasizing iterative development and feedback loops.

• Implementation & Automation: Detail the methodologies used for developing and deploying prototypes, including CI/CD practices, infrastructure as code, and any automation strategies employed.

• Measurement & Performance Analysis: Demonstrate how prototype performance, impact, or feasibility was measured and analyzed, linking back to customer objectives or business value.

📝 Enhancement Note: For a "Sr. Prototyping Architect," a portfolio is critical. It should not just list projects but tell a story about how the candidate uses their technical skills to solve problems and drive innovation. The focus should be on demonstrating the ability to translate complex technical concepts into tangible, working prototypes that showcase the value of AWS.

💵 Compensation & Benefits

Salary Range:

A Sr. Prototyping Architect position at Amazon in Bogotá, Colombia, with 10+ years of experience, would typically command a competitive salary. Based on industry benchmarks for senior cloud engineering and solutions architecture roles in major South American tech hubs, the estimated annual salary range could be between COP 200,000,000 and COP 350,000,000. This range can vary significantly based on specific skills, the candidate's negotiation, and the final evaluation of their qualifications.

Benefits:

• Comprehensive Health Insurance: Medical, dental, and vision coverage for employees and potentially dependents.

• Retirement Savings Plan: Contributions to a pension or retirement fund.

• Stock Options/RSUs: Potential for Amazon Restricted Stock Units (RSUs) as part of the compensation package, aligning employee success with company growth.

• Paid Time Off: Generous vacation days, sick leave, and public holidays.

• Professional Development: Opportunities for training, certifications, conference attendance, and continuous learning in cutting-edge technologies.

• Employee Discounts: Potential for discounts on Amazon products and services.

• Relocation Assistance: If applicable, support for relocation to Bogotá.

• Flexible Work Arrangements: While this role is on-site, Amazon often offers flexibility within the working day where possible.

Working Hours:

• Standard full-time working hours are typically 40 hours per week. However, the nature of a prototyping and customer-facing role may require flexibility to meet project deadlines and customer needs.

📝 Enhancement Note: Salary estimates are based on research of senior-level tech roles in major Colombian cities and general AWS compensation structures. Benefits are standard for large tech companies like Amazon, with a strong emphasis on stock-based compensation and professional development. The on-site requirement is noted, but typical tech company flexibility might still apply to daily schedules.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud Computing / E-commerce / Technology Services

Company Size: Extremely Large (Over 1,000,000 employees globally)

Founded: 1994

Company Description: Amazon is a global technology company focused on e-commerce, cloud computing (AWS), digital streaming, and artificial intelligence. AWS is the leading cloud platform, offering a vast array of services to businesses of all sizes.

Team Structure:

• PACE Team: This specific team, "Prototyping, Architecture, Cloud Engineering" (PACE), operates within AWS Sales, Marketing, and Global Services (SMGS). It is likely a specialized, agile group of high-caliber engineers focused on innovation and customer enablement.

• Reporting Structure: The Sr. Prototyping Architect will likely report to a Manager or Principal Engineer within the PACE team, with close collaboration across a matrixed organization involving sales, customer success, and AWS service teams.

• Cross-functional Collaboration: This role thrives on collaboration with customers, sales teams, solutions architects, product managers, and AWS service development teams to identify, experiment with, and showcase new solutions.

Methodology:

• Data-Driven Innovation: Leveraging customer data and market trends to identify opportunities for new solutions and prototypes.

• Agile Development & Experimentation: Employing agile methodologies to rapidly iterate on prototypes, embracing experimentation and learning from failures.

• Customer-Centric Design: Focusing on understanding and solving customer problems through innovative application of AWS technologies.

• Best Practice Implementation: Ensuring prototypes are built with production readiness in mind, adhering to AWS architectural best practices.

Company Website: https://www.amazon.com | https://aws.amazon.com/

📝 Enhancement Note: Amazon's culture is characterized by its Leadership Principles, a strong focus on customer obsession, innovation, and a high-performance environment. The PACE team, as a prototyping and engineering group, will embody these principles with an added emphasis on rapid development and technical exploration.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor / Technical Specialist

This role represents a senior individual contributor path, focusing on deep technical expertise and innovation rather than people management. It's for an architect who wants to stay hands-on with technology, pushing boundaries and directly influencing customer adoption of AWS.

Reporting Structure:

The role reports into a management structure within AWS SMGS, likely a Manager of Prototyping or a Principal Solutions Architect.Collaboration will be extensive with field sales teams, account managers, and other specialized AWS architects.

Operations Impact:

The impact is significant and multi-faceted:

• Revenue Enablement: Prototypes directly support sales efforts by demonstrating the value of AWS for emerging technologies (AI/ML, IoT, Generative AI), leading to new customer wins and expanded usage.

• Customer Success: By showcasing "the art of the possible," this role helps customers envision and implement transformative solutions, driving their success on AWS.

• Platform Evolution: Insights gained from customer engagements and prototype development can influence the roadmap of AWS services.

• Thought Leadership: Contributing to publications establishes AWS and its practitioners as leaders in emerging technology spaces.

Growth Opportunities:

• Technical Specialization: Deepen expertise in specific AI/ML, IoT, or serverless domains, potentially becoming a globally recognized subject matter expert.

• Principal Architect Path: Progress to Principal or Distinguished Architect roles, taking on more complex challenges and influencing broader architectural strategies.

• Leadership Potential: Transition into management roles within AWS engineering or solutions architecture teams.

• Cross-functional Mobility: Opportunities to move into product management, developer relations, or strategic initiatives within AWS.

• Continuous Learning: Access to extensive AWS training, certifications, and internal knowledge-sharing forums to stay at the forefront of cloud technology.

📝 Enhancement Note: This role offers a strong technical growth trajectory within a specialized AWS team. The emphasis is on becoming a deep technical expert and an innovation driver, with clear pathways for both continued individual contribution at a high level and potential leadership transitions.

🌐 Work Environment

Office Type: Corporate Office / Innovation Hub

The role is on-site in Bogotá, suggesting a professional office environment that likely includes collaborative workspaces, meeting rooms equipped for presentations and demonstrations, and access to necessary IT infrastructure.

Office Location(s): Bogotá, D.C., Colombia. This location serves as a hub for AWS operations and customer engagement in the region.

Workspace Context:

• Collaborative Spaces: Expect an environment designed for teamwork, brainstorming, and rapid problem-solving, with ample whiteboards and meeting areas.

• Technology & Tools: Access to high-performance computing resources, development environments, and the full suite of AWS services will be standard.

• Team Interaction: Frequent opportunities to interact with fellow architects, engineers, sales teams, and potentially customers, fostering a dynamic and engaging work atmosphere.

Work Schedule:

• The primary schedule will be standard business hours (e.g., 9 AM to 5 PM), but the nature of prototyping and customer-facing work may necessitate flexibility to accommodate project timelines, urgent customer requests, or international collaboration with teams in different time zones.

📝 Enhancement Note: The on-site requirement in Bogotá indicates a need for local presence, likely to facilitate in-person collaboration with regional customers and internal teams. The environment is expected to be high-tech, collaborative, and geared towards innovation.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: Recruiter call to assess basic qualifications, experience, and cultural fit.

2. Technical Phone Screen: An AWS Solutions Architect or Engineer will likely conduct a deep dive into technical skills, cloud concepts, and software engineering principles.

3. On-site/Virtual Loop (Multiple Interviews):

• Architecture Design: Candidates will be asked to design complex solutions, often with a focus on AWS services and emerging technologies.
• Coding/Prototyping Exercise: A hands-on coding assessment or a discussion about how to prototype a specific solution.
• Behavioral Interviews: Assessing alignment with Amazon's Leadership Principles (e.g., Customer Obsession, Ownership, Bias for Action, Dive Deep).
• Portfolio Presentation: A dedicated session to present and discuss past projects, prototypes, and architectural designs.

1. Hiring Manager Interview: Final discussion to ensure alignment with team goals and role expectations.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the business problem solved, the technical approach, and the quantifiable impact or learnings from each project.

• Showcase Innovation: Highlight projects that involved novel applications of technology, especially in AI/ML, IoT, Generative AI, or Serverless.

• Demonstrate AWS Proficiency: Emphasize the use of specific AWS services and how they were architected for scalability, reliability, and cost-effectiveness.

• Structure for Clarity: Organize your portfolio logically, perhaps by technology area or project type. Use diagrams, code snippets, and concise explanations.

• Prepare to Discuss: Be ready to answer in-depth questions about your design choices, trade-offs, challenges encountered, and lessons learned.

Challenge Preparation:

• Deep Dive into AWS: Refresh knowledge on core AWS services, architectural best practices, and newer offerings in AI/ML, IoT, and serverless.

• Practice System Design: Work through common system design problems, focusing on scalability, distributed systems, and fault tolerance.

• Review Leadership Principles: Understand each principle and prepare specific examples from your experience that demonstrate them.

• Prepare Your Portfolio: Rehearse your presentation, ensuring you can clearly explain complex technical concepts and your role in the projects.

📝 Enhancement Note: Amazon's interview process is known for its rigor, focusing heavily on technical depth and behavioral alignment. A strong portfolio showcasing hands-on prototyping and architectural design skills is paramount for this role.

🛠 Tools & Technology Stack

Primary Tools:

• AWS Services: Extensive use of core AWS services including EC2, S3, Lambda, API Gateway, DynamoDB, RDS, SageMaker, IoT Core, ECS/EKS, CloudFormation/CDK.

• Programming Languages: Proficiency in languages like Python (highly probable due to ML/AI and AWS Lambda), Java, Node.js, Go, or C++.

• Containerization: Docker, Kubernetes (EKS).

• Infrastructure as Code (IaC): AWS CloudFormation, AWS CDK, Terraform.

Analytics & Reporting:

• AWS CloudWatch: For monitoring, logging, and performance analysis of applications and infrastructure.

• AWS X-Ray: For tracing requests across distributed applications.

• Data Visualization Tools: Potentially Tableau, Power BI, or AWS QuickSight for presenting prototype insights.

CRM & Automation:

• Salesforce (Indirect): While not a direct tool, understanding how prototypes integrate with or support CRM processes might be relevant.

• CI/CD Tools: Jenkins, GitLab CI, AWS CodePipeline, CodeBuild, CodeDeploy for automating build, test, and deployment processes.

• Version Control: Git (GitHub, GitLab, AWS CodeCommit).

📝 Enhancement Note: The technology stack is heavily AWS-centric, with a strong emphasis on modern cloud-native development practices, including serverless, containers, IaC, and AI/ML services. Proficiency in Python is almost a given for this type of role.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: Deeply understanding and working backward from customer needs to deliver innovative solutions.

• Bias for Action: Taking calculated risks and moving quickly to deliver results, especially in prototyping and experimentation.

• Invent and Simplify: Developing new solutions and finding ways to simplify complex problems.

• Dive Deep: Understanding the technical details of systems and customer challenges thoroughly.

• Ownership: Taking responsibility for the success of prototypes and customer engagements.

• High Judgment: Making sound decisions in complex situations, balancing speed with quality.

Collaboration Style:

• Proactive & Collaborative: Actively seeking out opportunities to collaborate with customers, sales teams, and other AWS experts.

• Knowledge Sharing: Willingness to share learnings, best practices, and insights through documentation, presentations, and internal discussions.

• Solution-Oriented: Focused on working together to find the best technical solutions to customer problems.

• Iterative Feedback: Embracing feedback loops to continuously improve prototypes and approaches.

📝 Enhancement Note: Amazon's culture is strongly defined by its Leadership Principles. For this role, principles like Customer Obsession, Bias for Action, Invent and Simplify, and Dive Deep are particularly relevant to the day-to-day execution and collaborative style.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving Technologies: Keeping pace with the constant advancements in AI/ML, cloud computing, and related fields.

• Balancing Innovation and Production Readiness: Ensuring prototypes are not just proofs-of-concept but potential foundations for scalable, production-grade solutions.

• Diverse Customer Needs: Adapting solutions and prototypes to meet the varied requirements of different customers and industries.

• Translating Complex Concepts: Effectively communicating highly technical and innovative ideas to both technical and non-technical audiences.

• Navigating Ambiguity: Working in an environment that encourages experimentation, which inherently involves some level of ambiguity and evolving requirements.

Learning & Development Opportunities:

• Access to AWS Expertise: Direct interaction with AWS service teams and subject matter experts.

• Cutting-Edge Training: Extensive internal training programs, workshops, and access to advanced AWS certifications.

• Industry Conferences: Opportunities to attend and present at leading technology conferences.

• Mentorship Programs: Access to mentorship from senior architects and leaders within AWS.

• Exposure to Diverse Industries: Working with a wide range of customers across various sectors, broadening understanding of different business challenges.

📝 Enhancement Note: The role presents significant opportunities for growth by tackling cutting-edge technology challenges and contributing to customer success on a global scale. The primary challenge lies in staying ahead of the curve in a fast-paced technological landscape.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed and built a complex prototype for a new technology. What was the problem, your approach, and the outcome?" (Assesses prototyping skills, technical depth, and impact).

• "How would you architect a scalable, real-time data processing pipeline using AWS services for IoT sensor data?" (Assesses AWS architecture skills, specific service knowledge).

• "Imagine a customer wants to leverage Generative AI for content creation. What AWS services would you recommend, and how would you build a proof-of-concept?" (Assesses knowledge of emerging tech, practical application).

Company & Culture Questions:

• "Why AWS? What attracts you to working specifically within the PACE team?" (Assesses motivation and alignment with AWS's mission).

• "Tell me about a time you had to 'Dive Deep' into a complex technical problem. How did you approach it, and what did you learn?" (Assesses Leadership Principle: Dive Deep).

• "Describe your experience working with customers. How do you ensure you are truly 'customer-obsessed' when developing solutions?" (Assesses Leadership Principle: Customer Obsession).

Portfolio Presentation Strategy:

• Structure: For each project, clearly define the "Problem," "Solution/Architecture," "Implementation Details," and "Outcome/Learnings."

• Visuals: Use clear, well-annotated architecture diagrams. If possible, include short demo videos or screenshots of working prototypes.

• Metrics: Quantify impact wherever possible (e.g., performance improvements, cost savings potential, scalability achieved).

• Role Clarity: Be explicit about your specific contributions within team projects.

• AWS Focus: Highlight the specific AWS services used and the rationale behind their selection.

📝 Enhancement Note: Preparation should focus on demonstrating technical expertise, problem-solving skills, a deep understanding of AWS, and strong alignment with Amazon's Leadership Principles. The portfolio presentation is a key component, so practice is essential.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Amazon Jobs portal via the provided URL.

• Portfolio Customization: Curate your portfolio to prominently feature projects involving prototyping, cloud architecture (especially AWS), and experience with Machine Learning, IoT, or Serverless technologies. Select 2-3 key projects that best showcase your skills relevant to this Sr. Prototyping Architect role.

• Resume Optimization: Tailor your resume to highlight keywords from the job description, such as "AWS," "Solutions Architect," "Prototyping," "Machine Learning," "Serverless," "Distributed Systems," and specific years of experience in relevant domains. Quantify achievements where possible.

• Interview Preparation: Practice answering behavioral questions based on Amazon's Leadership Principles and technical questions related to system design, cloud architecture, and emerging technologies. Prepare a concise and compelling walkthrough of your portfolio highlights.

• Company Research: Familiarize yourself with Amazon's culture, recent AWS announcements (especially in AI/ML and IoT), and the company's commitment to innovation and customer obsession. Understand the PACE team's potential role within AWS SMGS.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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