Senior AI-Driven Cloud Architect

HSBC Holdings plc; Ciudad de México; Presencial; MXN 1.000.000 - 2.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Generous paid leave

Flexible working

Descripción de la vacante

HSBC is seeking an experienced AI, Software & Cloud Architect in Mexico to design scalable, secure solutions combining AI, software engineering, and cloud platforms. You will provide technical leadership across architecture patterns, AI adoption, and modernization roadmaps, collaborating with data scientists, engineers, and security teams.

You will guide cloud-native platforms across AWS, Azure, GCP, and hybrid environments while ensuring non-functional requirements like scalability,

Formación

• Strong experience in solution architecture, software architecture, or enterprise architecture with at least 8 years of experience.
• 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.

Responsabilidades

• Design end-to-end solution architectures across AI, software applications, data platforms, APIs, and cloud services.
• Follow architecture standards, patterns, principles, and reusable reference designs.
• Review and advise architecture findings in regulatory packs prior to being sent to the regulators.
• 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 prototypes 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.
• Partner with enterprise, and solution architects to ensure alignment with the global strategies.
• Communicate complex technical concepts clearly to senior stakeholders, business teams, and delivery teams.
• Engagement with Global team in order to be aligned with the FSA and also establish the right communication considering the Architecture platform framework

Conocimientos

Solution architecture

Cloud architecture

AWS

Azure

GCP

Kubernetes

DevOps

AI/ML design

Data architecture

Herramientas

Terraform

Ansible

Jenkins

Databricks

Hugging Face

OpenAI APIs

Descripción del empleo

HSBC is seeking an experienced AI, Software & Cloud Architect in Mexico to design scalable, secure solutions combining AI, software engineering, and cloud platforms. You will provide technical leadership across architecture patterns, AI adoption, and modernization roadmaps, collaborating with data scientists, engineers, and security teams.

You will guide cloud-native platforms across AWS, Azure, GCP, and hybrid environments while ensuring non-functional requirements like scalability,