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AI Platform Architect-Google Cloud Platform,FinOps

Logicplanet, Inc.Manor, TX🇺🇸United StatesPosted 8 Sept 2026

Why This Role Stands Out

This role offers a fantastic opportunity to shape the future of AI platforms on Google Cloud, leveraging your expertise in FinOps to drive innovation and impact. You'll thrive here if you possess extensive enterprise architecture experience, a deep understanding of GCP, and a passion for building cutting-edge AI solutions. Apply today to join a forward-thinking team and make your mark in this exciting domain.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Manor, TX, United States
Posted
Yesterday
Node.jsAWSSnowflakeBigQueryForecastingGoogle CloudPython

Job Description

Role: Sr. AI Platform Architect with Google Cloud Platform Certification & FinOps
Location: Austin, TX (Onsite)
Exp. Level: 15+ yrs

 

Key Responsibilities:
Define architecture standards and apply design patterns consistently across core FinOps applications (Forecasting, Infrastructure finance data-lake, Agentic Automation Platform).
Own platform-level technical decisions across the Google Cloud Platform (90%)/AWS cloud split
Set technical direction for MCP development and agentic tooling integration.
Partner with Quality Engineering Lead to ensure prototypes are hardened, not rewritten.
Act as the primary technical escalation point to the Client engineering leadership.

 

Must-Have:
15+ years in enterprise/platform architecture, including AI-enabled systems.
Demonstrated experience architecting agentic or AI-augmented internal platforms.
Google Cloud Platform Professional Cloud Architect certification (or equivalent depth).
Working fluency in Node.js (the Client’s primary stack language) and cloud data platforms (Snowflake/BigQuery).

Nice-to-Have:
Multi-cloud (AWS) architecture experience.
Exposure to financial/FinOps or commitment-tracking systems.
Python/Streamlit familiarity (the Client’s pilot stack).

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