Amazon Web Services

Technology

SpecialistSolutionsArchitectAI&ML

$1000–1500k ~AI est. Mexico City, Mexico City, Mexico FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Specialist Solutions Architect AI & ML at Amazon Web Services. Skills: AI, Machine Learning, Generative AI, Agentic AI. Understand business needs. Understand technical needs”

What You'll Achieve.

Deliver measurable business value

Industry & Context.

Technology
Problems you'll solve

Root cause analysis; Troubleshooting

What They're Looking For.

Must Have

3+ years cloud architecture experience, 2+ years AI/ML design experience, Design AI solutions POCs, Spanish and English communication

Nice to Have

Knowledge of AWS services, AWS dev/ops experience, LLM customization experience, Agentic frameworks knowledge, Data modeling knowledge, Database schema design knowledge

What You'll Do.

Understand business needs

Understand technical needs

Implement AI solutions

Drive AWS AI/ML adoption

Develop technical content

Develop reference implementations

Develop presentations

Design scalable AI solutions

Design secure AI solutions

Design cost-effective AI solutions

Lead POC implementations

Lead technical workshops

Demonstrate AI strategies

Partner with AI/ML teams

Accelerate customer adoption

Accelerate revenue attainment

Develop reference architectures

Develop demonstrations

Evangelize AWS ML services

Act as technical liaison

Provide product feedback

Foster knowledge-sharing

Contribute to AI SME community

Conduct discovery sessions

Architect full-stack AI systems

Translate customer requirements

Develop technical architectures

Guide responsible AI frameworks

Deliver business value

Build sustainable AI solutions

Build production-grade AI solutions

How You'll Work.

Team & Collaboration

Customer development teams; Customer data science teams; Solutions Architects; Sales teams; Business Development teams; AI/ML Service teams; Internal AWS community

Communication Scope

Spanish; English; Written; Verbal; Presentations; Public speaking

Full Job Description

Are you passionate about AI and Machine Learning? Are you ready to help Mexico's leading organizations build transformative solutions leveraging state-of-the-art AI/ML tools on Amazon Web Services (AWS)? Come join us! At Amazon, we've been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Within AWS, we're focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure, 2) Machine Learning Platforms such as Amazon SageMaker, and 3) API-driven Services like Amazon Bedrock, Amazon Lex, Amazon Kendra, and other AI/ML services. AWS is looking for a Specialist Solutions Architect for AI/ML who will serve as a Subject Matter Expert (SME) for helping customers in Mexico design and implement solutions that leverage our AI services, including Amazon Bedrock, Amazon SageMaker, and Amazon Q. As part of the team, you will work closely with customers to enable large-scale use cases, design AI pipeline, and drive the adoption of AWS AI/ML platforms. You will develop technical content, reference implementations, and presentations to enable customers to fully leverage AI on AWS. You must have deep technical experience working with technologies related to artificial intelligence, machine learning, deep learning, and AI. This includes hands-on experience with large language model customization, RAG systems, prompt engineering, and agentic frameworks. Strong communication skills in both Spanish and English are essential, with the ability to engage stakeholders from developers to technical decision-makers. Key job responsibilities - Work with customers' development and data science teams to deeply understand their business and technical needs, then design solutions that make the best use of AWS cloud platform and AWS AI/ML Services including Amazon SageMaker, Amazon Bedrock, Amazon Comprehend, Amazon Rekogni

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