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Technology Architecture Lead (GCP/Presales/Data & AI)
Singapore
Job No. r00316985
Full-time
Job Description
Ways of Working
1. Enterprise Architecture Leadership
- Define and govern end-to-end cloud and AI architecture blueprints
- Lead architectural design for large-scale enterprise transformation programs
- Establish reusable reference architectures and solution patterns
2. Strategic Platform Alignment
- Serve as the primary technical interface with a global cloud/AI platform partner
- Drive certification depth, specializations, and advanced technical designations
- Provide architectural oversight in strategic co-sell pursuits
3. Technical Strategy
- Lead technical strategy for large, complex bids and transformation deals
- Guide solutioning teams on scalable, cost-optimized cloud-native designs
- Translate business objectives into secure, high-performance technical architectures
4. Innovation & AI Enablement
- Drive adoption of advanced capabilities across AI, data platforms, modern application development, and cloud infrastructure
- Shape next-generation architectures including AI/GenAI-enabled systems, data modernization and analytics platforms, cloud-native microservices architectures, and secure hybrid and multi-cloud environments
- Lead proof-of-concepts and innovation accelerators
5. Technical Governance & Capability Building
- Mentor senior architects and engineering leads
- Promote best practices in DevSecOps, reliability engineering, and cost optimization
- Build deep technical capability aligned to strategic platform priorities
Qualifications
Mandatory Requirements
- Excellent tack record in Google Cloud Platform (GCP) Resourcing, Presales, Networking & Provisioning, Data & AI
- Hands-on and excellent stakeholder management skills
Base Qualifications:
- Strong xperience in enterprise architecture, cloud engineering, or large-scale systems design
- Proven track record leading cloud transformation programs
- Deep expertise in GCP cloud resourcing, networking and provisioning, data products (DAI), modern application architecture, data platforms, and AI/ML ecosystems
- Experience engaging C-suite technology stakeholders (CIO, CTO, CDO)
- Strong understanding of enterprise security, compliance, and governance frameworks
- Demonstrated leadership in complex technical deal shaping
Preferred Qualifications:
- Experience working closely with a leading global hyperscaler ecosystem
- Recognized cloud certifications at professional or expert level
- Experience designing AI-enabled enterprise platforms
