Sr. AI and Privacy Engineer, Ops Trust

Key job responsibilities

• Expert on Artificial Intelligence and/or Privacy Requirements.
• Support development and implementation of Compliant and Responsible AI by Design, Privacy by Design.
• Develop RAIbD and PbD technical architecture for all newly released applications.
• Use RAIbD and PbD standards to assist builders through development.
• Work with builders and developers to conduct AI compliance and privacy reviews and guide builders through their design, ensuring that privacy obligations are met.
• Develop AI and Privacy Engineering strategy to contribute to the overall Ops Trust strategic vision.
• Maintain a strong understanding of AI and privacy regulatory developments and standards.
• Manage multiple privacy projects simultaneously with a sense of urgency.
• Comfortable dealing with ambiguity and using data to drive results.
• Autonomously perform operational deep dives on AI and privacy-related processes and systems and engineer mitigating measures to produce scalable solutions.
• Work collaboratively with internal stakeholders across WW Ops, Legal, and federated AI and privacy teams to ensure AI and privacy are considered in projects and decisions.

Basic Qualifications

• 4+ years of non-internship background in troubleshooting systems issues, analyzing logs, or automating complex tasks using command line tools experience.
• 5+ years of work in identifying security issues and risks, and developing mitigation plans experience.
• 4+ years of (non-internship) scripting, programming, and security code review in common programming languages experience.
• Knowledge of at least two of the following programming languages: Scala, Java, Python, C/C++, or Go.
• (non-internship) in scripting, programming, and security code reviewing in a common programming language.
• (non-internship) in troubleshooting systems issues, analyzing logs, or automating complex tasks using command line tools.
• (non-internship) in identifying security issues and risks, and developing mitigation plans.
• (non-internship) in industry-based security vulnerabilities identification, attack patterns, and remediation techniques.
• Experience as a mentor, tech lead or leading an engineering team.

Preferred Qualifications

• Experience applying threat modeling or other risk identification techniques or equivalent.
• Experience with security in service-oriented architectures/microservices and web services.