• Own enterprise integration architecture and standards for internal corporate systems (ERP, HRIS, Finance, Salesforce, etc.). • Design and implement integrations connecting AI systems (GPTs, AI agents) with enterprise applications and data sources ERP, HRIS, knowledge bases, collaboration tools). • Develop and manage APIs, middleware, and data pipelines to ensure smooth data exchange and interoperability across platforms. • Collaborate with the GPT & AI Systems Lead and AI Agent Architect to operationalize AI-driven workflows and automation. • Partner with Engineering, IT, and AI Operations to ensure architectural alignment across enterprise standards, data, and long-term IT strategy. • Advise the Data Governance Committee on architectural decisions impacting data flow, retention, and quality. • Proactively identify gaps and propose architectural improvements to optimize performance and data quality. • Oversee data flow design, ensuring high availability, accuracy, and compliance with enterprise data governance standards. • Partner with IT and compliance teams to safeguard data privacy and meet regulatory requirements (SOC2, ISO27001, GDPR, etc.). • Establish monitoring, logging, and troubleshooting practices for data pipelines and integrations to ensure system reliability. • Maintain documentation of integration dependencies, workflows, and data schemas. • Develop and maintain APIs, data pipelines, and middleware connecting internal systems and AI platforms. • Build proofs of concept and reusable integration frameworks to accelerate AI enablement. • Implement observability, error handling, and performance tuning across integration layers. • Act as the primary liaison between the Go-to-market Tech Stack team and the AI Operations function. Provide technical expertise and integration support to ensure AI initiatives scale effectively across departments.