Senior Solution Architect - Google Cloud

About Role :

This role focuses on designing and delivering AI-native enterprise architectures that leverage Google Cloud technologies including Gemini Enterprise, Vertex AI, Agentspace, BigQuery, and modern cloud-native services to solve complex business problems.

You will work closely with enterprise customers, business stakeholders, sales teams, and delivery organizations to define AI strategy, conduct architecture workshops, and design scalable cloud solutions that accelerate enterprise AI adoption.

This role requires a strong combination of enterprise architecture, cloud engineering, AI platform expertise, and customer-facing consulting experience.

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.

Tech Stack : GCP, VertexAI, Gemini Enterprise, BigQuery, Google Kubernetes Engine, AlloyDB.

Requirements :

- 8+ years of experience in Enterprise Solution Architecture, Cloud Architecture, or Solution Consulting.

- 5+ years hands-on experience designing and delivering Google Cloud-based enterprise solutions.

- Hands-on experience architecting AI/Generative AI solutions using Vertex AI and Gemini Enterprise.

- Strong expertise in BigQuery for enterprise data platforms and analytics architecture.

- Experience designing cloud-native architectures using GKE, Cloud Run, and AlloyDB.

- Proven experience leading enterprise architecture engagements and customer discovery workshops.

- Must hold a valid Google Professional Cloud Architect Certification.

- Immediate joiners or candidates who can join within 2 weeks.

Skills

Solution Architect, Google Cloud Platform, Vertex AI, Google Kubernetes Engine, Kubernetes, AlloyDB, Native Cloud