Website:
mcschennai.in
Job details:
Requirement for our Enterprise design and deploy Agentic AI systems-Client
Senior Solution Architect – Google Cloud (Vertex AI, GCP)
10-15 YOE
Onsite~ Gurugram , Hyderabad , Mumbai & Bengaluru
Notice Period: Immediate Joiner or within 15 Days
About Role
Key Skills
GCP
VertexAI
Gemini Enterprise
BigQuery
Google Kubernetes Engine
AlloyDB
Roles & Responsibilities
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
Ideal Candidate
1
Strong Senior Solution Architect – Google Cloud (AI / Enterprise Architecture) Profile
2
Mandatory (Experience 1) – Must have minimum 8+ years of experience in Enterprise Solution Architecture, Cloud Architecture, or Solution Consulting, with experience designing enterprise-scale cloud transformation initiatives.
3
Mandatory (Experience 2) – Must have 5+ years hands-on experience designing and delivering Google Cloud-based enterprise solutions, with strong expertise across the Google Cloud ecosystem.
4
Mandatory (Experience 3) – Must have hands-on experience architecting AI/Generative AI solutions using Vertex AI and Gemini Enterprise, including enterprise AI adoption, AI platform design, or AI application architecture.
5
Mandatory (Experience 4) – Strong expertise in BigQuery for enterprise data platforms, analytics architecture, and modern data engineering solutions.
6
Mandatory (Experience 5) – Must have experience designing cloud-native architectures using GKE (Google Kubernetes Engine), Cloud Run, and AlloyDB, with strong understanding of scalability, security, and production deployments.
7
Mandatory (Experience 6) – Must have experience leading enterprise architecture engagements, customer discovery workshops, AI strategy sessions, and translating business requirements into scalable technical solutions.
8
Mandatory (Experience 7) – Proven experience collaborating with Sales, Delivery, Customer Success, and Business Stakeholders, providing technical leadership throughout pre-sales, solution design, and implementation.
9
Mandatory (Certification) – Must hold a valid Google Professional Cloud Architect Certification.
10
Mandatory (Notice Period) – Immediate joiners or candidates who can join within 2 weeks.
11
Mandatory (Note) - candidate's overall experience should not be greater than 15 years.
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