Senior Staff Software Engineer - AI Governance

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today with AI representing the latest and most impactful expansion of data yet OneTrust is once again redefining what responsible innovation looks like. OneTrust the AI‑Ready Governance Platform™ unifies regulatory intelligence automation and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide OneTrust is shaping the future where trusted data becomes a transformative force for business and society. strong 3 The Challenge /:true:true:281 As a Senior Staff Software Engineer you will serve as a technical leader for OneTrust’s AI Governance (AIG) platform driving the design scalability and reliability of systems that enable enterprises to deploy and govern AI and LLM-powered applications responsibly. You will deeply understand how customers build deploy and operate AI systems and translate those needs into secure compliant and observable platform capabilities.:240 strong 3 Your Mission /:true:true:281 Development:240 :1:720:360;Symbol;left;;hybridMultilevel Lead the design and development of Java/Python microservices and shared libraries integrating with AI platforms for OneTrust’s AI Governance product. /:1:720:360;Symbol;left;;hybridMultilevel Design build and test cloud-native applications deployed on Microsoft Azure using Core Java REST and the Spring ecosystem.:1:720:360;Symbol;left;;hybridMultilevel Lead the architecture and development of reusable AIG reporting and dashboard capabilities that integrate governance data from SQL databases and analytical platforms with runtime observability signals.:1:720:360;Symbol;left;;hybridMultilevel Design reusable semantic-layer and metric-abstraction capabilities including dataset contracts metric definitions query APIs pre-aggregation caching filtering time-period selection and drill-down workflows.:1:720:360;Symbol;left;;hybridMultilevel Lead event-driven integrations using Kafka and Apache Flink to consume normalized observability events and produce dashboard-ready datasets and derived metrics.:1:720:360;Symbol;left;;hybridMultilevel Integrate with the AI Observability