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Google Gen AI Architect

Taguig City, Ncr-Fourth District

Architect end-to-end Generative AI and machine learning solutions using Google Cloud services such as Vertex AI and Model Garden.Review and validate high-level solution designs to ensure security, scalability, and cost efficiency.Oversee full lifecycle delivery from architecture design through deployment and operational optimization.Implement and enforce MLOps practices, CI/CD pipelines, and operational standards for AI workloads.Establish security controls and compliance frameworks for AI and cloud infrastructure environments.Drive performance monitoring and operational stability of deployed AI solutions.Manage cloud consumption and project budgets, ensuring efficient utilization of Google Cloud resources.Optimize solution architecture to balance performance, scalability, and cost targets.Lead technical discovery sessions and architecture workshops with executive stakeholders.Translate complex AI architectures into business value propositions and transformation roadmaps.Partner with client leadership and internal stakeholders to align AI initiatives with business KPIs.
Qualifications
Bachelor’s degree in IT, Computer Science, or any related field.Minimum 7 years of experience in AI architecture, ML engineering, or cloud solution architecture Demonstrated track record delivering enterprise-scale Generative AI or ML solutions on Google Cloud.Proven experience in client-facing technical leadership and solution advisory roles.Advanced expertise in Google Cloud AI/ML services, particularly Vertex AI and Model Garden.Strong experience in enterprise MLOps frameworks and serverless-first architecture patterns.Knowledge of cloud security, compliance standards, and cost optimization strategies.Experience designing scalable AI solutions integrated into enterprise systems. Certifications on the following are an advantage;Google Cloud Professional Machine Learning EngineerGoogle Cloud Professional Cloud ArchitectGoogle Cloud Professional Cloud Security Engineer
Must Have
Bachelor’s degree in IT, Computer Science, or any related field.Minimum 7 years of experience in AI architecture, ML engineering, or cloud solution architecture Demonstrated track record delivering enterprise-scale Generative AI or ML solutions on Google Cloud.Proven experience in client-facing technical leadership and solution advisory roles.Advanced expertise in Google Cloud AI/ML services, particularly Vertex AI and Model Garden.Strong experience in enterprise MLOps frameworks and serverless-first architecture patterns.Knowledge of cloud security, compliance standards, and cost optimization strategies.Experience designing scalable AI solutions integrated into enterprise systems.