Teams at Qualtrics

Build and operate scalable AI infrastructure, backend services, and data pipelines supporting the full machine learning lifecycle. Responsibilities include data ingestion, anonymization, transformation, quality validation, lineage, model platform workflows, automation, and reliable production operations on AWS. The role owns features end-to-end, participates in architecture and on-call rotations, mentors engineers, and collaborates with scientists, ML engineers, product managers, and security teams.

Lead design and implementation of security frameworks for AI systems, performing threat modeling, adversarial defense, secure MLOps, architecture reviews (including MCP and agentic systems), authoring standards and reference architectures, managing large AI security projects, and mentoring cross-functional teams to strengthen AI security posture.

Lead research and productization of ML/AI solutions across Qualtrics: design, train, fine-tune, evaluate, and deploy generative and agentic models. Collaborate with product and engineering, mentor junior scientists, implement evaluation-driven development, and ensure production reliability, scalability, and observability.