Senior Solution Architect - Vertex AI/GCP

Certification Requirement: Must hold a valid Google Professional Cloud Architect Certification. Position: Senior Solution Architect (Vertex AI, GCP) Overall/Total Experience: 10-15 years only Location: Bengaluru/Hyderabad/Mumbai/Gurugram Working Days: 5 Days from Office Notice Period Requirement: Immediate Joiners Only Client's Company Size: Startup / Small Enterprise Roles & Responsibilities: - Lead enterprise solution architecture engagements across the Google Cloud ecosystem. - Conduct AI strategy workshops and discovery sessions with enterprise customers. - Design enterprise AI solutions leveraging Gemini Enterprise. - Architect scalable AI and machine learning platforms using Vertex AI. - Design modern enterprise data platforms using BigQuery. - Modernize enterprise cloud environments and support AI transformation initiatives. - Design cloud-native architectures using GKE, Cloud Run, and AlloyDB. - Partner with Sales and Delivery teams throughout solution design and implementation. - Provide technical leadership and architecture governance across enterprise engagements. - Develop scalable, secure, and production-ready AI platform architectures. - Guide customers on Google Cloud AI best practices and enterprise adoption strategies. Candidate Requirements: - Must have minimum 8+ years of experience in Enterprise Solution Architecture, Cloud Architecture, or Solution Consulting, with experience designing enterprise-scale cloud transformation initiatives. - Must have 5+ years hands-on experience designing and delivering Google Cloud-based enterprise solutions, with strong expertise across the Google Cloud ecosystem. - Must have hands-on experience architecting AI/Generative AI solutions using Vertex AI and Gemini Enterprise, including enterprise AI adoption, AI platform design, or AI application architecture. - Strong expertise in BigQuery for enterprise data platforms, analytics architecture, and modern data engineering solutions. - Must have experience designing cloud-native architectures using GKE (Google Kubernetes Engine), Cloud Run, and AlloyDB, with strong understanding of scalability, security, and production deployments. - Must have experience leading enterprise architecture engagements, customer discovery workshops, AI strategy sessions, and translating business requirements into scalable technical solutions. - Proven experience collaborating with Sales, Delivery, Customer Success, and Business Stakeholders, providing technical leadership throughout pre-sales, solution design, and implementation. - Must hold a valid Google Professional Cloud Architect Certification.