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.