Solution Architect - GCP

AuxoAI Inc.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

AuxoAI Engineering Pvt. Ltd. in Bengaluru, India, is seeking 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 architectures leveraging Gemini Enterprise, Vertex AI, 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

Qualifications

• 10+ years of experience in enterprise or cloud architecture.
• Google Professional Cloud Architect certification.
• Hands-on Vertex AI experience.
• Strong BigQuery and AlloyDB expertise.
• Experience leading enterprise architecture engagements and workshops.

Responsibilities

• Lead enterprise solution architecture engagements across the Google Cloud ecosystem
• Conduct AI strategy workshops and discovery sessions with enterprise customers
• Architect scalable AI and machine learning platforms using Vertex AI
• 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

Skills

Enterprise Architecture

Cloud Engineering

Stakeholder Management

Executive Communication

Sales & Delivery Collaboration

Tools

GKE

Cloud Run

Vertex AI

BigQuery

AlloyDB

Job description

AuxoAI Engineering Pvt. Ltd. | Full time

Solution Architect - GCP

Bangalore North, India

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 servicesto 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
• Architect scalable AI and machine learning platforms using Vertex AI
• 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
• 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: Given the urgency of the role, we are currently prioritizing candidates who can join immediately or within 2 weeks.