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Senior Solution Architect - Google Cloud
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Section · 01
About this role
Role Title: Senior Solution Architect Google Cloud (Vertex AI, GCP)
Immediate joiners
Job Location: Hyderabad, Mumbai, Bengaluru, Gurugram
Candidate Location: Any Location
Experience: 10 - 15 years
Working Model: Hybrid 3 Days
Positions Open: 1
Key Skills: GCP, Vertex AI, Gemini Enterprise, BigQuery, Google Kubernetes Engine (GKE), AlloyDB
About Role:
This role focuses on designing and delivering AI-native enterprise architectures leveraging Google Cloud technologies such as Gemini Enterprise, Vertex AI, Agentspace, BigQuery, and modern cloud-native services to solve complex business problems.
You will collaborate 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.
The position requires a strong combination of enterprise architecture, cloud engineering, AI platform expertise, and customer-facing consulting experience.
Roles & 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/ML 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.
Ideal Candidate:
- 8+ years in Enterprise Solution Architecture, Cloud Architecture, or Solution Consulting.
- 5+ years designing and delivering Google Cloud-based enterprise solutions.
- Hands-on experience architecting AI/Generative AI solutions using Vertex AI and Gemini Enterprise.
- Expertise in BigQuery for enterprise data platforms and analytics.
- Experience designing cloud-native architectures using GKE, Cloud Run, and AlloyDB.
- Proven ability to lead enterprise architecture engagements, workshops, and AI strategy sessions.
- Collaboration experience with Sales, Delivery, Customer Success, and Business Stakeholders.
- Valid Google Professional Cloud Architect Certification.
- Immediate joiners or candidates available within 2 weeks.
Interview Process:
- Round 1
- Round 2
- Final Round
Sourced from iimjobs
Section · 02