Shape the future of enterprise AI as Senior Specialist Solutions Architect for AI at AWS Mexico. This high-impact role positions you at the intersection of cutting-edge technology and business transformation, working directly with C-suite executives to architect transformative solutions that fundamentally reshape how Mexico's most strategic organizations leverage artificial intelligence. You'll establish yourself as the definitive thought leader architecting breakthrough solutions spanning machine learning, generative AI, and agentic capabilities that deliver measurable business outcomes.
We seek candidates with ability for deep technical experience across the AI spectrum—from traditional ML and deep learning to Generative AI and Agentic AI. This includes hands-on experience with large language model customization and fine-tuning, inference optimization, agentic frameworks, GenAIOps/AgentOps, security, RAG systems optimization and vector stores, and prompt engineering. Strong communication skills and technical depth are essential, with the ability to engage stakeholders from executives to developers, translating complex technical concepts into clear, actionable insights.
Key job responsibilities
- Develop and maintain strategic relationships with technical decision-makers, focusing on enterprise-grade AI/ML architectures and generative AI solutions
- Design scalable, secure, and cost-effective AI solutions using AWS's comprehensive technology stack
- Create compelling technical content, reference architectures, and demonstrations showcasing advanced AI implementation strategies
- Foster knowledge-sharing and best practices within the AWS AI/ML expert community
- Collaborate across teams to accelerate customer success in AI implementation
A day in the life As an AI/ML Specialist Solutions Architect at AWS, you will work at the forefront of enterprise AI transformation, engaging with business leaders and technical teams to design cutting-edge solutions across Machine Learning, Generative AI, and Agentic AI. Leveraging AWS's cloud infrastructure, you'll conduct executive-level discovery sessions, architect full-stack AI systems, and lead proof-of-concept implementations. Your role demands deep expertise in building scalable, secure, and cost-effective AI/ML solutions that meet enterprise governance and compliance standards. You'll translate complex customer requirements into robust technical architectures, develop best-practice content, and guide organizations in establishing responsible AI frameworks—delivering measurable business value through sustainable, production-grade AI solutions on AWS.
About the team Diverse Experiences AWS 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.
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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.
Basic Qualifications
- 7+ years of cloud architecture and solution implementation experience
- Experience in English-language communication skills, both written and verbal
- Bachelor's degree in a relevant field or equivalent work experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience with Data & Core AI/ML, deep learning, GenAI/LLMs, RAG systems and architecture, Agentic AI and autonomous systems
- Design, leading and implementing POC for AI solutions with customers
Preferred Qualifications
- Knowledge of data structures, data modeling, and database schema
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience working with end user or developer communities
- Proficiency in frameworks of GenAI and emerging technologies (Amazon Bedrock AgentCore, Strands Agents, Kiro and other frameworks of Agentic AI) from AWS or similar.
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