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).

Flexible work from home options available.