20 publicaciones de empleo destacadas de stack developer en naucalpan, mex (¡Están contratando!)

Sr. Specialist Solution Architect - AI, AWS Mexico Commercial
Amazon Web Services Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Experiencia en bases de datos
- Licenciatura
5d
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EPAM Systems, Inc. —Ciudad de México, CDMX
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Salesforce —Ciudad de México, CDMX
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Bank of America —Ciudad de México, CDMX
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- Mantenimiento
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Software Engineer II (Mexico)
Sezzle —Ciudad de México, CDMX
- $2,800 a $6,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
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DXC Technology —Ciudad de México, CDMX
- Azure
- Administración de personal
- Informática
Senior Software Engineer, Chrome Test Infrastructure
Google —Ciudad de México, CDMX
- Doctorado
- Informática
- Inglés
Software Engineer DET| SSR
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Java
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Mobile Software Engineer, Multiplatform, Early Careers
Google —Ciudad de México, CDMX
- Inglés
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A.I. Engineering Intern
Sezzle —Ciudad de México, CDMX
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10d
Sr. Software Design Engineer in Test (SDET)- Remote in MX
QAD, Inc. —Ciudad de México, CDMX
- Tiempo completo
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- Contratos
Postulación rápida
Senior Manager, Software Engineering (People Leader)
Capital One —Ciudad de México, CDMX
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Delinea —Ciudad de México, CDMX
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Codal —Ciudad de México, CDMX
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Postulación rápida
4d
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos

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Sr. Specialist Solution Architect - AI, AWS Mexico Commercial

Amazon Web Services Mexico S. de R.L. de C.V. -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
Hace 5 días

Cualificaciones

Modelado de datos
Estructura de datos
AWS Certification
Inglés
Experiencia en bases de datos
Creación de contenido
Licenciatura
Servicios web
Habilidades de comunicación

Descripción completa del empleo

DESCRIPTION

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.

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stack developer empleos en naucalpan, mex

Sr. Specialist Solution Architect - AI, AWS Mexico Commercial

Software Engineer, Compilers, Runtimes and Toolchains, Early Career

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Senior Platform Engineer

Senior Data Engineer

Lead Full Stack Web Developer and Shopify Expert

AWS Developer (.NET Core)

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Mobile Software Engineer, Multiplatform, Early Careers

A.I. Engineering Intern

Sr. Software Design Engineer in Test (SDET)- Remote in MX

Senior Manager, Software Engineering (People Leader)

SDET (TESTER ) .Net Developer

SDET

Machine Learning Platform Engineer

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