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 contemporary 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.

📌 Senior Solution Architect – Google Cloud (Vertex AI, GCP) (Bengaluru)
🏢 AuxoAI
📍 Bengaluru