The Solutions Architect is responsible for designing, owning, and governing the end-to-end architecture blueprint of an in-house, cloud-native enterprise system undergoing modernization. The role establishes the technical foundation of the new platform, ensures scalability, security, and audit readiness, and enables data-driven and AI-enabled capabilities where appropriate. The role also provides limited, time-bound architectural guidance to the legacy platform to ensure operational continuity during transition.
Key Responsibilities
Define, draw, and maintain the end-to-end architecture blueprint, covering:
Application and service architecture
Data, integration, and event flows
Security, access control, and compliance design
Cloud infrastructure and deployment model
Design scalable, secure, and modular solutions using public cloud services, primarily on Google Cloud Platform, across:
Application and compute
Data and analytics
Integration and messaging
Security and identity
Networking and observability
AI and machine learning
Select appropriate cloud services based on business requirements, risk, performance, scalability, and cost.
Define architectural patterns for API-driven, event-based, and microservice-oriented systems.
Establish the data and AI architecture, enabling analytics and AI-assisted capabilities using cloud-native data and AI/ML services where applicable.
Ensure AI-enabled components follow governance, explainability, security, and auditability requirements, with clear separation from rule-based logic.
Provide architectural direction, standards, and technical guardrails to development and DevOps teams.
Review and approve solution designs, major technical decisions, and implementation approaches.
Ensure the platform supports logging, monitoring, resiliency, data integrity, and future expansion.
Provide limited architectural support to the legacy platform, focusing on stability, risk reduction, and transition readiness.
Act as the primary technical authority during the platform foundation and modernization phase.
Required Skills & Experience
6–10+ years of experience in solution or system architecture.
Experience with public cloud platforms and managed services.
Solid understanding of data platforms and AI/ML integration patterns.
Experience supporting legacy systems during modernization initiatives.
Strong documentation, communication, and stakeholder engagement skills.
Cloud Experience Requirement
Google Cloud Platform experience is preferred.
Strong equivalent experience in AWS or Azure is acceptable, provided the candidate demonstrates the ability to adapt and design effectively on Google Cloud.
Nice to Have
Experience in regulated, mission-critical, or large-scale enterprise systems.
Experience designing data-driven or AI-enabled platforms.
Google Cloud, AWS, or Azure architecture certifications.
Willing to work onsite at our Ortigas Center office and comfortable with UK time hours
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