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AI Platform Architect

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

Why This Role Stands Out

As an AI Platform Architect at Vega Intellisoft Inc., you will shape the technical direction for innovative AI-enabled internal engineering platforms, driving significant impact across core financial applications. This role is ideal for a seasoned architect with extensive experience in AI systems and cloud technologies, particularly Google Cloud Platform, who thrives on setting technical standards and leading complex projects. Embrace this opportunity to elevate your expertise and influence the future of AI within a respected organization.

Quick Overview

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

Job Description

Role:- AI Platform Architect

Location:-  Austin, TX (Onsite)

Mode of Hire:- Subcon

Job Description:  

Exp. Level: 15+ yrs

 

Role Purpose: Owns the patterns, standards, and technical direction for the Client’s AI-enabled internal engineering platforms — the senior technical authority across core Fin Apps: Forecasting, Finance/Infrastructure data lake, and the Agentic Automation Platform stack.

 

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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