Teams at Ridgeline

Leads architecture and development of a production agentic AI platform. Defines technical strategy, engineering standards, reliability and model evaluation practices, and scalable AI capabilities. Designs RAG integrations, third-party data connections, model routing, tool use, and code execution systems. Partners across Engineering, Product, and Data to drive adoption, resolve technical challenges, and align AI investments with customer outcomes while contributing directly to product delivery.

Serve as R&D finance business partner for Product, Engineering, Design, Security and tech teams. Lead R&D budgeting, forecasting, long-range planning, cloud cost management, financial modeling, variance analysis, executive reporting, business cases, and process automation using AI-enabled tools while supporting accounting, procurement, and FinOps practices.

Designs and strengthens identity and access management by implementing RBAC, managing account and permission inventories, automating provisioning and de-provisioning, conducting access audits, developing security policies, leading IAM-related incident response, and maintaining technical documentation. The role requires collaboration across security and IT teams to support compliance with NIST, GDPR, ISO 27001, and other identity management standards.