Amazon Web Services Mexico S. de R.L. de C.V.
Technology
PrototypingArchitect,PACE,AWSPrototypingandAICustomerEngineering(PACE)
Neural analysis suggests this role is
optimal for Senior candidates.
“Prototyping Architect, PACE, AWS Prototyping and AI Customer Engineering (PACE) at Amazon Web Services Mexico S. de R.L. de C.V.. Skills: Generative AI, Agentic AI, Prototyping, AWS. Architect Generative AI prototypes. Develop Generative AI prototypes”
What You'll Achieve.
Show customers art of the possible; Open new markets; Transform product delivery; Demonstrate path to production; Accelerate AI adoption
Industry & Context.
Translate business requirements; Guide technical decisions
Up to 25% travel LATAM
What They're Looking For.
Must Have
4+ years technology domain experience, 2+ years applications/infrastructures experience, 10+ years IT development/consulting experience
Nice to Have
Experience software development industries, Experience migrating legacy solutions, Experience with AWS dev/ops
What You'll Do.
Architect Generative AI prototypes
Develop Generative AI prototypes
Architect Agentic AI prototypes
Develop Agentic AI prototypes
Build prototypes using AWS AI services
Build autonomous agents
Build multi-agent systems
Build RAG architectures
Build LLM-powered applications
Leverage AI-driven development tools
Build prototypes rapidly
Iterate on prototypes
Implement prompt engineering
Implement function calling
Implement agent orchestration
Guide customers technical decisions
Translate business requirements
Partner with Technical Program Managers
Partner with Design Technologists
Partner with field teams
Deliver customer engagements
Provide feedback AWS service teams
Develop agent frameworks
Develop code libraries
Develop reference architectures
Develop conference presentations
Research AI/ML capabilities
Experiment with agentic patterns
Experiment with cloud-native architectures
How You'll Work.
Team & Collaboration
Partnering with customers; Partner with TPMs; Partner with Design Technologists; Partner with field teams; Feedback to AWS service teams
Communication Scope
Whitepapers; Blogs; Conference presentations
Full Job Description
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 Managers, Design Technologists, and field teams to deliver customer engagements on time and with high quality, while providing feedback to AWS service teams to influence AI product roadmaps - Develop and share agent frameworks, code libraries, reference architectures, whitepapers, blogs, and con
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