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AI Data Protection Field Engineer

Role summary

We are looking for an AI Data Protection Field Engineer to help deploy, integrate, test, and troubleshoot AI-enabled data protection solutions for global clients. This is a hands-on engineering role focused on helping clients secure sensitive data across cloud, SaaS, endpoint, collaboration, and AI-enabled environments by combining solid data protection fundamentals with practical AI engineering skills. The role is designed for professionals with early-career to mid-career experience who enjoy solving real client problems in delivery settings and building technical depth in modern data protection. The internal role design emphasizes deployment, model/platform integration, testing,



and troubleshooting, while comparable market roles emphasize customer-facing engineering, rapid iteration, and production-grade solution delivery.

Key responsibilities
- Configure, deploy, and support AI-enabled data protection capabilities across client environments, including data discovery, classification, DLP-aligned controls, PKI/KMS integrations, and information rights management patterns.
- Integrate data protection platforms with AI models, copilots, and enterprise workflows to help clients protect sensitive information used in prompts, retrieval sources, generated outputs, and broader AI use cases.
- Execute implementation, validation, testing, and troubleshooting tasks for client deployments, including configuration tuning, issue identification, root-cause analysis, and stabilization support.
- Support workshops, technical assessments, pilots, and proof-of-value activities by tra

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