Senior Solution Architect Google Cloud (Vertex AI, GCP)

About the Role

We are looking for a Senior Solution Architect – Google Cloud AI to design and deliver AI-native enterprise architectures using Google Cloud, Gemini Enterprise, Vertex AI, BigQuery and modern cloud-native services.

The role involves working closely with enterprise customers, business stakeholders, Sales and Delivery teams to define AI strategies, conduct architecture workshops and build scalable, secure and production-ready cloud solutions that accelerate enterprise AI adoption.

Roles & Responsibilities

• Lead enterprise solution architecture engagements across the Google Cloud ecosystem.
• Conduct AI strategy workshops, discovery sessions and architecture discussions with enterprise customers.
• Design enterprise AI solutions leveraging Gemini Enterprise.
• Architect scalable AI and ML platforms using Vertex AI.
• Design modern enterprise data platforms and analytics architectures using BigQuery.
• Drive cloud modernization and enterprise AI transformation initiatives.
• Design cloud-native architectures using GKE, Cloud Run and AlloyDB.
• Partner with Sales and Delivery teams across pre-sales, solution design and implementation.
• Provide technical leadership and architecture governance across enterprise engagements.
• Develop secure, scalable and production-ready AI platform architectures.
• Guide customers on Google Cloud AI best practices, architecture patterns and enterprise adoption strategies.

Ideal Candidate

• 8+ years of experience in Enterprise Solution Architecture, Cloud Architecture or Solution Consulting, with experience delivering enterprise-scale cloud transformation initiatives.
• 5+ years of hands-on Google Cloud experience designing and delivering enterprise solutions.
• Strong hands-on experience architecting AI/Generative AI solutions using Vertex AI and Gemini Enterprise.
• Strong expertise in BigQuery for enterprise data platforms, analytics architecture and modern data engineering.
• Hands-on experience designing cloud-native architectures using GKE, Cloud Run and AlloyDB.
• Strong understanding of scalability, security, reliability and production cloud deployments.
• Proven experience leading enterprise architecture engagements, customer discovery workshops and AI strategy sessions.
• Ability to translate complex business requirements into scalable technical architectures and solutions.
• Strong customer-facing experience collaborating with Sales, Delivery, Customer Success and Business stakeholders.
• Proven technical leadership across pre-sales, solution design and implementation.
• Google Professional Cloud Architect Certification is mandatory.
• Immediate joiners or candidates who can join within 2 weeks are highly preferred.
• Overall experience must not exceed 15 years.