Prototyping Architect, PACE, AWS Prototyping and AI Customer Engineering (PACE)
Amazon - Mexico City, Mexico City, MEX
Posted Jun 8, 2026
Benefits
- Parental leave
- 6 weeks From the posting source
- Non-birth-parent leave
- 6 weeks From the posting source
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered Verified - SEC 10-K source
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Prototyping Architect, PACE, AWS Prototyping and AI Customer Engineering (PACE) Mexico City, Mexico City, MEX Amazon Web Services (AWS) is looking for a Prototyping Architect with strong software engineering skills and a passion for building innovative solutions that show customers the art of the possible. You will join the Prototyping and AI Customer Engineering (PACE) team, an agile group of builders obsessed with understanding customer needs and partnering with them to experiment with new ideas that open up new markets or transform how they deliver products and services. In this role, you will use your software development skills to build functional prototypes using Generative AI, Agentic AI, Machine Learning, and Serverless Architectures. You will apply software engineering best practices to ensure prototypes provide a solid foundation for production solutions. We foster a creative environment where experimentation is encouraged. Move fast, learn from failures, and iterate toward breakthrough outcomes. Key job responsibilities - Architect and develop functional Generative AI and Agentic AI prototypes directly with customers using AWS AI services (Amazon Bedrock, Amazon SageMaker), including autonomous agents, multi-agent systems, RAG architectures, and LLM-powered applications that demonstrate a clear path to production - Leverage AI-driven development tools and modern engineering practices to rapidly build and iterate on prototypes, implementing patterns such as prompt engineering, function calling, agent orchestration, and tool use - Guide customers through complex technical decisions on LLM selection, agent design patterns, agentic architectures, and AI adoption strategies, translating business requirements into actionable technical approaches - Partner with Technical Program
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