AI Platform Architect

Jobtailor; Austin (TX); On-site; USD 190,000 - 240,000; Full time

Job summary

Jobtailor is seeking an accomplished Enterprise Architect to define architecture standards across forecasting, data lake, and agentic automation platforms. You will own platform-level decisions across a GCP/AWS split and set technical direction for MCP development and tooling integration.

You will partner with Quality Engineering to harden prototypes and serve as the primary escalation point to client engineering leadership, bringing AI-enabled systems and multi-cloud expertise to the role.

Qualifications

• 15+ years in enterprise/platform architecture, including AI-enabled systems.
• Demonstrated experience architecting agentic or AI-augmented internal platforms.
• GCP Professional Cloud Architect certification (or equivalent depth).
• Working fluency in Node.js.
• Experience with cloud data platforms such as Snowflake or BigQuery.
• Multi-cloud (AWS) architecture experience (nice-to-have).
• Exposure to financial/FinOps or commitment-tracking systems (nice-to-have).
• Python/Streamlit familiarity (nice-to-have).

Responsibilities

• Define architecture standards and apply design patterns across Forecasting, Data Lake, and Automation Platform apps.
• Own platform-level technical decisions across the GCP/AWS cloud split.
• Set technical direction for MCP development and agentic tooling integration.
• Partner with QE Lead to ensure prototypes are hardened rather than rewritten.
• Serve as the primary technical escalation point to Client engineering leadership.

Skills

Enterprise Architecture

GCP

Node.js

AI-Enabled Systems

Cloud Data Platforms

Multi-Cloud (AWS)

Python

Streamlit

Design Patterns

Technical Direction

Agentic Automation Platform

Education

GCP Professional Cloud Architect Certification

Tools

Snowflake

BigQuery

Agentic Automation Platform

Quality Engineering Tools

Job description

Define architecture standards and apply design patterns across Forecasting, Infrastructure finance data lake, and Agentic Automation Platform applications
Own platform-level technical decisions across the GCP/AWS cloud split
Set technical direction for MCP development and agentic tooling integration
Partner with the Quality Engineering Lead to ensure prototypes are hardened rather than rewritten
Serve as the primary technical escalation point to Client engineering leadership

Requirements

• 15+ years in enterprise/platform architecture, including AI-enabled systems
• Demonstrated experience architecting agentic or AI-augmented internal platforms
• GCP Professional Cloud Architect certification (or equivalent depth)
• Working fluency in Node.js
• Experience with cloud data platforms such as Snowflake or BigQuery
• Multi-cloud (AWS) architecture experience (nice-to-have)
• Exposure to financial/FinOps or commitment-tracking systems (nice-to-have)
• Python/Streamlit familiarity (nice-to-have)

Core Competencies

Expertise in enterprise architecture with a focus on AI-enabled systems and cloud platforms, including GCP and AWS. Proven ability to define architecture standards, set technical direction, and integrate agentic tooling within financial data environments.

Highest-signal resume keywords

• Enterprise Architecture
• GCP Professional Cloud Architect Certification
• Node.js Proficiency
• AI-Augmented Platform Architecture
• Multi-Cloud Architecture Experience

ATS Optimization Keywords

Hard Skills

• Enterprise Architecture
• AI-Enabled Systems
• Node.js
• Cloud Data Platforms
• GCP
• AWS
• Python
• Streamlit
• Design Patterns
• Technical Direction

Soft Skills

• Technical Leadership
• Collaboration
• Problem Solving
• Communication

Certifications & Qualifications

• GCP Professional Cloud Architect Certification

Industry Keywords

• FinOps
• Financial Systems
• Commitment-Tracking Systems

Tools & Technologies

• Snowflake
• BigQuery
• Agentic Automation Platform
• Quality Engineering Tools