Cloud Architect

HSBC Global Services Limited; Ciudad de México; Presencial; MXN 1.800.000 - 2.400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Paid leave package

Descripción de la vacante

HSBC Global Services Limited in Mexico City is seeking an AI, Software & Cloud Architect to design scalable, secure, and business-aligned technology solutions that blend AI, modern software engineering, and cloud platforms.

You will lead architecture across AI adoption, application modernization, and cloud-native delivery, collaborating with data scientists, software engineers, and cloud engineers to move from prototype to production.

Formación

• Strong experience in solution architecture, software architecture, or enterprise architecture with at least 8 years of experience.
• Hands-on background in software engineering using languages such as Java, Python, JavaScript 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.

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

AI/ML design

Programming languages

Cloud platforms

Herramientas

AWS

Azure

GCP

Kubernetes

CI/CD

Descripción del empleo

If you’re looking for a career where you can make a real impression, join our Global Service Center (GSC)- HSBC and discover how valued you’ll be.

We are currently seeking an experienced professional to join our team in the role of AI, Software & Cloud Architect

Role Summary

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.
• 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

Required Skills and Experience

• Strong experience in solution architecture, software architecture, or enterprise architecture with at least 8 years of experience.
• Hands-on background in software engineering using languages such as Java, Python, JavaScript 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 and insurance
• Experience with architecture frameworks such as TOGAF, ArchiMate, C4, or similar.
• Experience with CI/CD, infrastructure as code, Terraform, Ansible, Jenkins.
• 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.

You’ll achieve more when you join HSBC!

At HSBC we offer our colleagues a greater number of days so that they can fully enjoy their wedding, take care of the new member of the family, or grieve the loss of a family member. Our paid leave package is at the forefront in Mexico, now you have one more reason to be HSBC and proudly live a culture of well-being, balance and care

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

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