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

Solid 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.

📌 Senior Solution Architect – Google Cloud (Vertex AI, GCP) | 10-15 YOE | Onsite~ Gurugram , Hyderabad | Notice Period: Immediate Joiner or within 15 Days
🏢 MCS Chennai
📍 Gurugram