AmazonPosted 3w ago

Sr. Specialist Solution Architect - AI, AWS Mexico Commercial

Sr. Specialist Solution Architect - AI, AWS Mexico Commercial at Amazon scores 71 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

MX, DIF, Mexico Cityfull-time

AI in this role

bedrock

prompt-engineeringragfine-tuningai-safety

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.

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.

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 & 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.

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

- Experience in English-language communication skills, both written and verbal
- Bachelor's degree in a relevant field or equivalent work experience
- 7+ years of cloud architecture and solution implementation 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.
- AWS Certified Generative AI Developer - Professional or similar certifications from others cloud providers

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.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRagFine TuningAI SafetyBedrock

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How do you think about the risk of an AI system in this kind of role failing silently?
Walk me through how you've used Bedrock in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Prompt Engineering, Rag, Fine Tuning, AI Safety, and Bedrock. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

Want your resume actually rewritten for this job?

The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.