Teams at EvolutionIQ

Lead design and build of a scalable analytical data platform: develop and optimize ETL/ELT pipelines, create analytical data models, enforce data quality and governance, collaborate with data scientists and analysts, mentor engineers, and drive continuous improvement of analytics tooling and processes.

Lead architecture and product-aligned engineering for agentic, event-driven AI systems handling tens of millions of unstructured documents. Drive platform-product integration, accelerate the SDLC with AI tooling, solve critical scalability bottlenecks, and mentor engineering teams while aligning technical strategy with executive leadership.

Lead and scale the EIQ engineering organization, set technical vision and architecture, partner with Product, hire and develop leaders and ICs, own CI/CD and cloud infrastructure (GCP/AWS), drive strategic roadmaps, and represent engineering in executive discussions while embedding LLM/agentic workflows.