Role Title: Senior Solution Architect – Google Cloud (Vertex AI, GCP)
Immediate joiners preferred
Job Location: Hyderabad, Mumbai, Bengaluru, Gurugram
Working Model: Hybrid – 3 Days
Positions Open: 1
Here’s the JD content refined into a professional and structured format:
Senior Solution Architect – Google Cloud (Vertex AI, GCP)
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
1. Strong Senior Solution Architect – Google Cloud (AI / Enterprise Architecture) profile.
2. Mandatory Experience:
o 8+ years in Enterprise Solution Architecture, Cloud Architecture, or Solution Consulting.
o 5+ years designing and delivering Google Cloud-based enterprise solutions.
o Hands-on experience architecting AI/Generative AI solutions using Vertex AI and Gemini Enterprise.
o Expertise in BigQuery for enterprise data platforms and analytics.
o Experience designing cloud-native architectures using GKE, Cloud Run, and AlloyDB.
o Proven ability to lead enterprise architecture engagements, workshops, and AI strategy sessions.
o Collaboration experience with Sales, Delivery, Customer Success, and Business Stakeholders.
3. Certification: Valid Google Professional Cloud Architect Certification.
4. Notice Period: Immediate joiners or candidates available within 2 weeks.
5. Experience Cap: Overall experience should not exceed 15 years.
Interview Process
- Round 1
- Round 2
- Final Round
Pay: ₹3,000,000.00 - ₹5,000,000.00 per year
Application Question(s):
- How many years of Total experience do you have?
- How many years of Solution Architect experience do you have?
- How many years of Google Cloud (Vertex AI, GCP) experience do you have?
- How many years of Gemini Enterprise experience do you have?
- How many years of Google Kubernetes Engine (GKE) experience do you have?
- How many years of AlloyDB experience do you have?
- What is your present location City & State
- what is your notice period
Work Location: In person