US - Senior Solution Architect - GCP

AuxoAI is hiring a Senior Solution Architect – Google Cloud to lead enterprise AI transformation initiatives across the Google Cloud ecosystem.

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

Requirements

10+ years of experience in Enterprise Solution Architecture or Cloud Architecture
Google Professional Cloud Architect certification
Hands-on experience with Vertex AI
Experience designing enterprise solutions using Gemini Enterprise
Strong expertise in BigQuery
Experience with AlloyDB
Experience building cloud-native applications using GKE and Cloud Run
Strong background in Enterprise Data Engineering
Experience leading enterprise architecture engagements and customer workshops
Excellent stakeholder management and executive communication skills
Experience partnering with Sales, Delivery, and Customer Success teams

Note: The person needs to go to the office once or twice a week, depending on the need