AI Platform Architect
CLOUDSCOUTS SOFTWARE SOLUTIONS LLC
- Location
- Hybrid (Austin, TX)
- Employment
- Full-time
- Level
- Senior Level
Posted 3 weeks ago
About the Role
CloudScouts is seeking an AI Platform Architect to define technical direction and architecture standards for internal engineering platforms, including forecasting and agentic automation. This role serves as the primary technical authority for core FinOps applications and cloud infrastructure.
Skills
Platform architecture
AI-enabled systems
GCP
AWS
Node.js
Snowflake
BigQuery
Agentic tooling
FinOps
Python
Streamlit
Data lake
Forecasting
Infrastructure finance
Architecture standards
Design patterns
Perks
- Flexible work from home
Full job details
Role: AI Platform Architect
Location: Austin, TX (Onsite)
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 GCP (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.
• GCP 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).
Location: Austin, TX (Onsite)
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 GCP (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.
• GCP 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).
Flexible work from home options available.