> Markdown version of [/jobs/ext/4293781-ai-platform-architect](https://www.wearedevelopers.com/jobs/ext/4293781-ai-platform-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Architect - **Company:** CLOUDSCOUTS SOFTWARE SOLUTIONS LLC - **Location:** Austin, TX, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, BigQuery, Cloud Computing, Software Design Patterns, Python (Programming Language), Node.Js, Cloud Services, Snowflake, Multi-Cloud, Agentic-AI, Data Lakes, AI Platforms, Streamlit Framework - **Published:** October 23, 2026 - **Apply:** https://www.thejobnetwork.com/job/5c5022ed-1358-49b7-8000-71986f579a8e/ai-platform-architect ## About the Role *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). ## Description 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.