Description Drive AI Innovation with AWS to transform business challenges into practical Solutions for Mexico's Growing AI Market We are seeking a talented technical professional to accelerate generative AI adoption for enterprise customers, with a primary focus on Mexico. In this role, you will collaborate with forward-thinking teams to architect practical AI solutions that address real business challenges while navigating Mexico's unique AI maturity landscape. Key job responsibilities - Design and implement generative AI solutions using AWS technologies - Develop technical artifacts including code samples, architectural designs, and implementation guides. - Collaborate with cross-functional teams including sales, professional services, and product teams to accelerate customer AI adoption. - Provide hands-on guidance on AI architecture, security, data governance, and operational best practices aligned with the AWS Well-Architected Framework - Create and deliver technical workshops and educational content tailored to diverse technical skill levels - Work with customers to navigate regulatory frameworks and data privacy requirements specific to Mexico and Latin America - Guide customers through repeatable application patterns including multi-agent orchestration, intelligent document processing, Retrieval Augmented Generation (RAG), chat-based assistants, and path to production best practices A day in the life Your day will blend hands-on technical work with AI strategy advisory services with customers with different AI maturity levels. You will work directly with customer teams to design AI architectures that address their specific business needs and infrastructure constraints. Expect to build proof-of-concept solutions, develop technical demonstrations, and collaborate with both technical and executive stakeholders to create achievable AI roadmaps. About the team We are a passionate team of cloud and AI practitioners dedicated to helping customers succeed with transformative technology. Our team thrives on solving practical challenges, sharing knowledge across disciplines, and empowering customers to achieve meaningful outcomes. We view every customer interaction as an opportunity to drive adoption and create tangible business value in Latin America's rapidly growing AI market. ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 10+ years of IT development or implementation/consulting in the software or Internet industries experience - 2+ years of experience working with AI Technologies - Bachelor's degree in computer science, engineering, mathematics, or equivalent professional experience - Proficient English communication in technical and business contexts Preferred Qualifications - Deep understanding of distributed systems design and cloud architecture patterns - Proficiency in generative AI frameworks and emerging technologies (Amazon Bedrock AgentCore, Strands Agents, Kiro, and other agentic AI frameworks) - Strong technical presentation and workshop facilitation skills - Experience navigating markets with emerging AI adoption 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.