Join a pioneering team focused on building foundational systems and consumer-facing features for trustworthy and accessible AI experiences. This high-impact role involves designing and implementing AI-driven operational tooling, robust data-governance frameworks, and inclusive accessibility features.

You will tackle complex technical challenges at the nexus of AI innovation and customer trust. The goal is to reduce operational burdens through automation, ensure data is classified and compliant, and guarantee that AI experiences are accessible to all users.

Develop data-classification and tagging systems for sensitive data at scale. Design and implement pipelines for redaction, filtering, and crypto-shredding to enforce data-handling restrictions. Create data-minimization and access-control frameworks to demonstrate compliance on demand. Operate and harden live production governance systems, ensuring measurable and auditable compliance.

Build AI-powered metrics and conversational agents for self-serve program health and root-cause analysis. Design config-driven agent frameworks for easy onboarding of new capabilities. Develop agents for end-to-end debugging and log-traceability across distributed services. Architect secure agent authentication and token propagation mechanisms.

Requires 5+ years of professional software development experience, including programming in at least one language. Experience in leading the design or architecture of new and existing systems, along with mentorship or team leadership experience is essential.

Preferred qualifications include experience across the full software development lifecycle, from coding standards and code reviews to build processes, testing, and operations. A Bachelor's degree in Computer Science or an equivalent field is also preferred.