Title: Cloud Architect

Location: Hybrid - 3 days in office in Mexico City (Azcapotzalco) or Toluca

Duration: Full Time The AI, Software & Cloud Architect is responsible for designing scalable, secure, and business-aligned technology solutions that combine artificial intelligence, modern software engineering, and cloud platforms. The role provides technical leadership across solution architecture, AI adoption, application modernization, integration design, and cloud-native delivery.

This role works closely with business stakeholders, engineering teams, security, data teams, and platform owners to translate business needs into robust architecture patterns and implementation roadmaps.

Key Responsibilities

- Design end-to-end solution architectures across AI, software applications, data platforms, APIs, and cloud services.
- Define architecture standards, patterns, principles, and reusable reference designs.
- Lead the design of AI-enabled solutions, including generative AI, machine learning, automation, intelligent assistants, and analytics-driven applications.
- Architect scalable cloud-native platforms using services across AWS, Azure, GCP, or hybrid cloud environments.
- Guide application modernization, including microservices, containers, serverless, event-driven architecture, and API-led integration.
- Collaborate with data scientists, ML engineers, software engineers, and cloud engineers to move AI solutions from prototype to production.
- Ensure solutions meet non-functional requirements including scalability, availability, performance, resilience, maintainability, and cost efficiency.




- Review technical designs and provide architecture governance throughout the delivery lifecycle.
- Support cloud migration strategies, platform selection, workload assessment, and modernization roadmaps.
- Evaluate emerging AI, software, and cloud technologies and recommend practical adoption approaches.
- Partner with security architects to ensure security, privacy, compliance, and responsible AI principles are embedded by design.
- Communicate complex technical concepts clearly to senior stakeholders, business teams, and delivery teams.

Required Skills and Experience

- Strong experience in solution architecture, software architecture, or enterprise architecture.
- Hands-on background in software engineering using languages such as Java, Python, JavaScript, TypeScript, Go, or C#.
- Experience designing cloud solutions on AWS, Azure, GCP, or private cloud platforms.
- Strong knowledge of cloud-native architecture, microservices, APIs, containers, Kubernetes, serverless, and DevOps practices.
- Understanding of AI/ML solution design, including model lifecycle, prompt engineering, MLOps, LLM integration, vector databases, and AI governance.
- Experience with enterprise integration patterns, event streaming, messaging, and API management.




- Strong understanding of architecture documentation, design reviews, and technical decision records.
- Knowledge of data architecture concepts such as data lakes, warehouses, lakehouses, pipelines, and real-time analytics.
- Ability to balance strategic architecture thinking with practical implementation constraints.
- Excellent communication, stakeholder management, and technical leadership skills.

Preferred Qualifications

- Cloud certifications such as AWS Solutions Architect, Azure Solutions Architect, or Google Professional Cloud Architect.
- AI/ML certifications or practical experience with platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI, Databricks, Hugging Face, or OpenAI APIs.
- Experience in regulated industries such as banking, insurance
- Experience with architecture frameworks such as TOGAF, ArchiMate, C4, or similar.
- Experience with CI/CD, infrastructure as code, Terraform, GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
- Familiarity with responsible AI, data privacy, model risk management, and AI ethics.

Key Success Measures

- High-quality architecture designs delivered on time.
- Increased adoption of reusable architecture patterns.
- Successful delivery of AI and cloud-native solutions into production.
- Improved scalability, resilience, security, and cost efficiency of technology platforms.
- Strong stakeholder confidence in architecture direction and technical decisions.

English Advanced

Location: Hybrid - 3 days in office in Mexico City (Azcapotzalco) or Toluca

Duration: Full Time

📌 Cloud Architect (Ciudad de México)
🏢 EXL
📍 Ciudad de México