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E-Solutions Inc.

Senior Google Cloud Architect Google Cloud Platform (GCP) & AI Services || Milpitas, CA || Onsite

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Job Description

Senior Google Cloud Architect

  • Google Cloud Platform (GCP) & AI Services || Milpitas, CA || Onsite (Milpitas, CA, 95036) | 09/15/26 Job Description Job Title
  • Senior Google Cloud Architect
  • Google Cloud Platform (GCP) & AI Services Location
  • Milpitas, CA (Onsite/Hybrid) Primary
  • GKE cluster with TPUs configuration Experience 10+ years of overall IT experience with 6+ years in Google Cloud Platform (GCP) and proven expertise in designing, deploying, and operating enterprise-scale cloud and AI solutions.

Job Summary We are seeking a highly experienced Senior Google Cloud Architect to lead cloud transformation, modernization, and AI initiatives on Google Cloud Platform (GCP). The candidate will be responsible for designing scalable cloud architectures, enabling AI-driven business solutions, guiding migration and modernization programs, and providing technical leadership across multi-disciplinary teams. The ideal candidate should possess deep expertise in Google Cloud services, cloud-native architectures, data and AI platforms, MLOps, security, governance, and enterprise-scale implementation of Generative AI solutions. Key Responsibilities Cloud Architecture & Strategy Design and implement enterprise-grade cloud architectures on GCP.

Define cloud adoption roadmaps, migration strategies, and modernization initiatives.

Drive architecture reviews and ensure alignment with GCP best practices and Well-Architected Framework principles.

Provide technical leadership for cloud-native application development and modernization. AI & Machine Learning Solutions Architect and deploy AI/ML solutions leveraging Google Cloud AI services.

Design Generative

AI, LLM, RAG

(Retrieval-Augmented Generation), and intelligent automation platforms.

Implement AI governance, responsible AI practices, model lifecycle management, and monitoring.

Collaborate with business stakeholders to identify and deliver AI-powered use cases. Data & Analytics Design modern data platforms using GCP data services.

Implement scalable data pipelines, data lakes, and analytics solutions.

Enable AI and machine learning workloads through robust data architectures. Security & Governance Establish cloud security, compliance, identity management, and governance controls.

Ensure adherence to enterprise security standards and regulatory requirements.

Drive cost optimization, operational excellence, and reliability initiatives. Leadership & Stakeholder Management Act as a trusted advisor for customers and leadership teams.

Mentor architects, engineers, and cloud practitioners.

Support pre-sales activities, solution proposals, and customer workshops.

Lead cross-functional teams and oversee successful program execution. Mandatory Technical Skills Google Cloud Platform Google Compute Engine (GCE)

Google Kubernetes Engine (GKE)

Cloud Run

Cloud Functions

VPC, Networking & Load Balancing

Cloud Storage

Cloud SQL

Big Query

Pub/Sub

Cloud Monitoring & Logging

IAM & Security Services

Terraform / Infrastructure as Code Google AI & Machine Learning Services Vertex AI

Vertex AI Studio

Gemini Models

AutoML

AI Platform

Document AI

Vision AI

Speech-to-Text

Natural Language AI

AI Agents & Conversational AI Generative AI Large Language Models (LLMs)

Prompt Engineering

RAG Architectures

Vector Databases

AI Agents & Agentic Frameworks

LangChain / Similar AI Orchestration Frameworks DevOps & Automation CI/CD Pipelines

GitHub / GitLab

Cloud Build

Docker

Kubernetes

MLOps Practices Programming Languages Python (Mandatory)

Java or Go (Preferred)

SQL Preferred Certifications Google Professional Cloud Architect

Google Professional Machine Learning Engineer

Google Professional Data Engineer

Google Professional Cloud DevOps Engineer Desired Experience Enterprise cloud migration and modernization programs.

AI/GenAI implementation for business transformation.

Semiconductor, Manufacturing, Hi-Tech, Financial Services, or Retail industry experience.

Multi-cloud exposure (AWS / Azure) is an added advantage.

Experience working with global stakeholders and large-scale transformation programs. Key Competencies Strategic Thinking

Solution Architecture

Technical Leadership

Customer Engagement

Problem Solving

Innovation & AI Adoption

Stakeholder Management

Excellent Communication Skills

Senior Google Cloud Architect

  • Google Cloud Platform (GCP) & AI Services || Milpitas, CA || Onsite1Cloud, architect, google United States

Benefits

  • Dental Insurance