Data & AI Quality Engineering Architect
Core
Architecting quality engineering and AI-assurance standards to industrialize data & AI delivery, ensuring reliability, auditability, and compliance through 'quality by design' in CI/CD pipelines.
Role type
Quality Engineering Architect (Data & AI)
Builds
Reusable quality patterns, CI/CD integrations, and evaluation frameworks for data pipelines and AI capabilities.
Domain
Data & AI lifecycle, regulated environments (e.g., financial services)
Deliverable
production ML models | infrastructure
Required skills
Test automation, CI/CD integration, software quality metrics, AI lifecycle evaluation, non-regression testing, observability, SLO-driven operations, stakeholder enablement
Preferred skills
Experience in regulated industries, presales/bid positioning
Technologies
CI/CD pipelines, quality gates, monitoring tools, logging frameworks
Responsibilities
Design quality engineering and AI-assurance standards, define evaluation and non-regression criteria for models and prompts, implement CI/CD integrations for reliable releases, coach engineering teams on quality adoption, advise on testability and observability, collaborate on golden paths and templates
Seniority
Senior, hands-on IC with strategic influence
