Privacy Engineering Lead, Generative AI Privacy & Security

Snapshot Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

GDM’s mission is to “build AI responsibly to benefit humanity.” Within GDM, the Gemini team is dedicated to developing the world's most advanced and useful generative AI models. The GDM Privacy & Technical Compliance team plays a crucial role in ensuring these models, systems and underlying infrastructure are developed and deployed with the highest standards of privacy.

Role Description We are seeking a highly experienced and innovative Privacy Engineering Leader to join the GDM Privacy & Technical Compliance team. This role will focus on designing and implementing cutting-edge approaches to privacy, specifically within the rapidly evolving landscape of Generative AI.  Reporting to the Engineering Leader for the Privacy & Technical Compliance team, this individual will be a key driver in shaping the future of privacy-preserving AI experiences.

This role will have a deep and broad impact on privacy matters both within Google DeepMind and across Google, requiring a leader with a deft hand in navigating intricate cross organizational and cross functional demands.  Key Responsibilities Drive the strategy for ensuring strong and uniform adherence to our privacy commitments in the development of Google DeepMind’s AI models and systems, incorporating input from GDM Legal, Policy, and Google wide privacy working groups Partner closely with Legal and Policy teams to interpret emerging global regulations and translate them into actionable technical standards and engineering principles for GDM Lead high-stakes Privacy Design Reviews for emergent product features and model capabilities, acting as the technical authority on privacy preserving data handling, processing, minimization, and retention strategies Translate learnings from internal privacy reviews into actionable recommendations for central Google teams, influencing the development of new standards and policies for AI privacy across the company.

This includes actively participating in relevant cross-functional initiatives and contributing externally to thought leadership in the field. Work cross-functionally to steer the architectural alignment of GDM and Google product teams, ensuring that privacy controls are scalable, auditable, and technically sound. Contribute to and influence the development of cutting-edge privacy-preserving technologies to address emergent privacy and security challenges in the Agentic AI era Contribute to building an actionable research and product roadmap for GDM Privacy, coordinating timelines, goals, and objectives.

Translate learnings from prototyping efforts into actionable recommendations for central Google teams, influencing the development of new standards and policies for AI privacy across the company Work cross-functionally to steer adoption of prototype solutions products and technologies by GDM and Google product teams. Effectively influence GDM and Google leadership on the strategic direction of AI Privacy roadmaps, quantifying privacy risk and advocating for necessary architectural investments at the VP level.

Minimum Qualifications

Bachelor's degree in Computer Science, Engineering, Law, or a related field, or equivalent practical experience At least 10 years of progressive privacy engineering experience in large scale, complex product and engineering environments with a track record of impactful landings At least 5 years of experience working with AI products Significant experience working with complex policy and legal issues related to product launches, particularly in the context of AI Track record of partnering with and influencing effectively cross-functional teams, including product, engineering, research science, legal, and policy teams Demonstrated knowledge and deep interest in the privacy and regulatory domains, including familiarity with relevant technologies, standards, regulations and best practices.

Proven experience with stakeholder engagement and alignment at the VP level.

Preferred Qualifications

Master's or PhD in Computer Science, Privacy Law, or related technical field, or equivalent practical experience Experience working with complex policy and legal issues related to product launches, particularly in the context of Large Language Models (LLMs) or Generative AI. Experience partnering effectively with cross-functional teams, including research scientists, product counsel, and policy regulators.

Strong working knowledge of AI/ML principles Experience contributing to or influencing industry standards or policy development (e.g., NIST, ISO) related to privacy Experience designing privacy architectures for on-device or edge computing environments   The US base salary range for this full-time position is between $294,000 USD - 414,000 USD + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: February 4, 2026 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf.

For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.

If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Founded in the UK in 2010 and acquired by google in 2014, Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. An team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.

They use their technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and...