AI Platform Architect

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., *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.

*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).