About the role
AI summarisedLead end-to-end cloud and AI architecture blueprints for large-scale enterprise transformation programs, serving as the primary technical interface with global cloud/AI platform partners to drive strategic pursuits and innovation.
ConsultingHybridTechnology Architecture
Key Responsibilities
- Define and govern end-to-end cloud and AI architecture blueprints for large-scale enterprise transformation programs.
- Establish reusable reference architectures and solution patterns across complex bids and deals.
- Lead technical strategy for large, complex bids, guiding solutioning teams on scalable, cost-optimized cloud-native designs.
- 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 platforms, and secure hybrid/multi-cloud environments.
- Mentor senior architects and engineering leads on best practices in DevSecOps, reliability engineering, and cost optimization.
Requirements
- Excellent track record in Google Cloud Platform (GCP) Resourcing, Presales, Networking & Provisioning, Data & AI.
- Strong experience 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, 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.