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Urgent! AI/ML Solutions Architect Position in Mexico City - Confidential

AI/ML Solutions Architect



Job description

To design scalable, secure, cloud-native SaaS applications that incorporate AI and data engineering technologies.

Serve as a bridge between technical and business teams to define system architecture, cloud strategies, and intelligent, data-driven solutions in both English and Spanish environments 


Responsabilidades

  1. Design and architect secure, scalable, high-performance cloud-native SaaS applications 
  2. Lead technical discovery sessions with customers and internal stakeholders in both English and Spanish 
  3. Integrate AI/ML models into software products to enable intelligent automation and predictive features 
  4. Define data pipelines and architecture in collaboration with data engineering teams to support analytics and AI 
  5. Translate business requirements into technical specifications and end-to-end system designs 
  6. Provide architectural guidance throughout the software development lifecycle (SDLC) 
  7. Ensure alignment with best practices in cloud platforms (Azure, AWS, or GCP), security, and DevOps 
  8. Document architectural decisions, diagrams, and technical artifacts in both English and Spanish when necessary 
  9. Collaborate with product, engineering, and sales teams to deliver both client-facing and internal solutions 
  10. App development mobile and web applications 




Requirements:
  1. Advanced English


5-7 Years of experience:

  1. Experience as a Solutions Architect or in a similar role 
  2. Hands-on experience in architecting SaaS applications using cloud platforms (Azure, AWS, or GCP) At least two of them.

  3. Solid understanding of data engineering concepts such as ETL/ELT pipelines, data lakes, data warehouses, and streaming 
  4. Familiarity with microservices architecture, serverless computing, containerization (Docker/Kubernetes), and CI/CD pipelines 
  5. Experience communicating effectively with both technical and non-technical stakeholders, in English and Spanish 
  6. Solid understanding of data engineering concepts: ETL/ELT pipelines, Data lakes, Data warehouses and Streaming data 
  7. Familiarity with: Microservices architecture, Serverless computing, Containerization (Docker/Kubernetes, CI/CD pipelines) 
  8. Experience with API design and integration (REST and GraphQL
  9. Expertise in architecting SaaS applications using cloud platforms (Azure, AWS, or GCP). 


1-3 Years of experience:

  1. Experience integrating AI/ML models into cloud applications 
  2. Hands-on experience with AI/ML frameworks and integrating models into cloud applications




Required Skill Profession

Computer Occupations



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