Senior Director AI Security 664

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: $245K - $440K

At Protegrity, we lead innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments. We leverage advanced cryptographic methods such as tokenization, format-preserving encryption, and quantum-resilient techniques to protect sensitive data. As a global leader in data security, our mission is to ensure that data isn’t just valuable but also usable, trusted, and safe.

Protegrity offers the opportunity to work at the intersection of innovation and collaboration, with the ability to make a meaningful impact on the industry while working alongside some of the brightest minds. Together, we are redefining how the world safeguards data, enabling organizations to thrive in a GenAI era where data is the ultimate currency. If you're ready to shape the future of data security, Protegrity is the place for you.

Protegrity is looking for a passionate Senior Director, AI Security. Join us in shaping the future of GenAI security and become a member of our GenAI Security Team where innovation meets hands-on action. At Protegrity, top execs along with everyone else roll up their sleeves every day. Our cutting-edge "single pane of glass" platform empowers the world’s largest companies to protect their GenAI and data estate with ultimate transparency and control.

In this role, you’ll drive the development of next-gen AI governance, safety, security, and privacy frameworks. Leverage your expertise in AI/ML, generative AI, unstructured data, and LLMs as you collaborate with a talented, globally diverse team from PhDs to industry veterans to set the industry standard and fuel business innovation.

This is a rare opportunity to shape the future of AI security in a fast-paced, collaborative environment. If you’re excited to lead groundbreaking projects while staying hands-on, we want to hear from you!

Responsibilities

• Lead cutting-edge research on securing Generative AI, NLP, and LLMs to tackle challenges in unstructured data processing emphasizing safety guardrails and compliance.
• Conduct advanced AI/ML security research and experimentation to develop novel algorithms and scalable solutions for secure and compliant GenAI systems.
• Develop and optimize models, tools and methodologies to detect and mitigate risks, including bias, toxicity, and hallucination in LLMs.
• Architect and deploy robust frameworks to govern AI systems, ensuring compliance with industry standards and regulatory mandates.
• Build end-to-end pipelines for training, evaluation, and deployment of GenAI systems, with a focus on operational excellence.
• Incorporate state-of-the-art safety measures, including adversarial testing, bias mitigation, and secure access controls.
• Serve as an evangelist by publishing white papers, contributing to industry forums, and advising stakeholders on emerging GenAI trends.
• Lead collaborations with researchers, engineers, and product teams to integrate state-of-the-art AI models into enterprise-grade product solutions.
• Provide thought leadership in AI governance and security, mentoring cross-functional teams and stakeholders.
• Partner with legal, compliance, and ethics teams to ensure adherence to regulatory standards and ethical AI practices.

Requirements

• Experience: 12-15 years of experience in AI/ML, security, governance, and safety, with 2+ years specializing in GenAI and LLMs.
• AI/LLM Data Classification: Expertise in building and optimizing AI/LLM-based data classification systems.
• AI/LLM Trust, Risk, Safety & Security: Expertise in using AI/LLM-based techniques for trust, risk, safety, and security guardrails of GenAI systems.
• Secure & Privacy-Preserving AI: Proven experience developing secure and privacy-preserving AI solutions, with knowledge and use of tools like LangChain, Hugging Face, OpenAI APIs, etc.
• AI Lifecycle Management: In-depth understanding of AI lifecycle management, including bias mitigation, explainability, and robustness testing.
• Programming Skills: Advanced programming skills in Python and potentially other languages like RUST, Java, and Go.