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Google Cloud Platform (Google Cloud Platform) Architect

SysMind, LLCIrving, TX🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationIrving, TX, United States
MicroservicesGitAWSLookerAirflowApacheBigQueryGoogle CloudJavaPyTorchPythonTensorFlowTerraformGenerative AIAzureNode.jsMachine LearningCI/CDLinuxRAG

Job description

Location: Irving, Texas
Work Arrangement: Onsite
Employment Type: Contract
Duration: 6 Months
Experience Required: 15+ Years

Position Overview

We are seeking an experienced Google Cloud Platform Architect to lead the design, delivery, and governance of enterprise data, analytics, and AI platforms. This role combines Google Cloud architecture, data engineering, generative AI, and cloud-native application development. The ideal candidate will translate business objectives into technical roadmaps, guide engineering teams, define non-functional requirements, and deliver secure, scalable, and reliable cloud solutions.

Primary Skills

Google Cloud Platform (Google Cloud Platform)
Python
Terraform
Enterprise Cloud Architecture
Data and Analytics Platform Architecture
Generative AI and Vertex AI

Secondary Skills

BigQuery,
Cloud Storage,
Dataflow,
Pub/Sub,
Cloud Composer (Apache Airflow),
Dataform
Looker
Gemini Enterprise
Retrieval-Augmented Generation (RAG)
Large Language Models (LLMs)
Vector Databases
AI Agents and Tool Calling
AI Guardrails and Token Management
CI/CD for Models and Prompts
Model Registries and Drift Detection
Production Monitoring
Java and Node.js
Git and Linux/CLI Utilities
PyTorch and TensorFlow
Serverless Architecture
Microservices
Containerization
AWS and Microsoft Azure

Key Responsibilities

  • Lead the architecture, design, delivery, and governance of enterprise data and analytics platforms using Google Cloud services.

  • Design scalable data solutions leveraging BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, Dataform, and Looker.

  • Architect cloud-native applications using serverless technologies, microservices, and containerization across Google Cloud Platform and other major cloud platforms.

  • Design generative AI workflows using Vertex AI, Gemini Enterprise, retrieval-augmented generation (RAG), vector databases, tool calling, and multi-step AI agents.

  • Establish practices for AI token management, guardrails, and responsible implementation of AI-powered solutions.

  • Design CI/CD workflows for models and prompts, including model registry integration, drift detection, deployment automation, and production monitoring.

  • Guide development using Python, Java, Node.js, Git, Linux/CLI utilities, and relevant AI frameworks such as PyTorch and TensorFlow.

  • Translate executive objectives and business requirements into technical architectures, implementation plans, and engineering roadmaps.

  • Lead engineering teams through architecture decisions, technical delivery, and platform governance.

  • Define and communicate non-functional requirements, including scalability, availability, performance, security, and maintainability.

  • Collaborate with stakeholders to manage expectations, resolve technical challenges, and align platform solutions with business goals.

  • Establish architectural standards and best practices for cloud infrastructure, data platforms, AI workflows, and production operations.

Required Qualifications

  • At least 15 years of total IT experience, including more than 5 years in an architecture role.

  • Strong experience designing and implementing enterprise solutions on Google Cloud Platform.

  • Expertise in Python and infrastructure automation using Terraform.

  • Experience architecting enterprise data and analytics platforms using BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, Dataform, and Looker.

  • Strong understanding of serverless architectures, microservices, and containerization across Google Cloud Platform, AWS, or Azure.

  • Deep understanding of large language models, Gemini Enterprise, Vertex AI, RAG, vector databases, tool calling, and agentic workflows.

  • Experience implementing CI/CD for AI models and prompts, model registries, drift detection, and production monitoring.

  • Development experience with Python, Java, Node.js, Git, and Linux/CLI utilities.

  • Familiarity with AI and machine learning frameworks such as PyTorch or TensorFlow.

  • Knowledge of token management strategies and AI guardrails.

  • Demonstrated ability to translate business and executive objectives into technical roadmaps and architectural designs.

  • Experience leading engineering teams, defining non-functional requirements, and coordinating with technical and business stakeholders.


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
We are committed to providing reasonable accommodations to qualified applicants with disabilities and for sincerely held religious beliefs, as required by applicable law. Applicants who require a reasonable accommodation during the hiring process may request assistance.
Employment may be contingent upon the successful completion of job-related pre-employment screening, which may include background and reference checks and, where permitted by applicable law and applicable to the position, drug testing. All such screening will be conducted in accordance with applicable federal, state, and local laws.

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