Teams at Zendesk

Own and deliver ML-powered product features end-to-end: data pipelines, model integration, serving, monitoring, and iteration in production. Productionise research outputs, build ML infrastructure (model serving, inference pipelines, LLM integrations), improve reliability and cost-efficiency, collaborate with product engineers and scientists, and mentor junior engineers.

Senior Platform Architect leads technical and solution strategy for Zendesk AI customer engagement: selling to enterprise buyers, designing architectures, mapping RFPs, scoping and executing trials, building production-grade AI/LLM integrations, coordinating pre/post-sales teams, and driving customer implementations and optimizations.

Lead continuous improvement and transformation for Zendesk-driven customer operations, integrating AI-driven automation and change management. Design and implement process improvements, manage projects end-to-end, build AI prompts and tools, advise stakeholders, present to leadership, and measure outcomes to improve human processes and AI model performance.