ZS
is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by
bringing together data, science, technology
and
human ingenuity
to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a
client-first mentality
to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.We are seeking an experienced Senior AI Security Engineer to join our security team. This role will be responsible for ensuring the security, privacy, and integrity of our AI and machine learning systems, safeguarding them against evolving threats. You will collaborate with data scientists, AI/ML engineers, and other stakeholders to establish robust security best practices throughout the lifecycle of AI/ML model development, deployment, and maintenance.
What you'll do:
- Secure AI/ML Systems: Design, implement, and review security controls specifically tailored for AI and ML environments.
- Threat Modeling: Conduct comprehensive threat modeling and risk assessments for AI/ML systems, identifying potential vulnerabilities unique to AI technologies.
- Incident Response: Lead investigations into security incidents involving AI/ML models, recommend and implement improvements, and participate in post-mortems.
- Security Architecture: Collaborate on developing secure architectures for AI solutions including data collection, data labeling, model training, deployment, and inferencing.
- Secure Data Practices: Establish and enforce secure protocols for training data, ensuring privacy, integrity, and compliance with legal and regulatory guidelines.
- Red Teaming & Adversarial Testing: Simulate attacks (e.g., adversarial machine learning, model theft, data poisoning) and develop mitigation strategies.
- Automation and Tools: Build and maintain security tools for continuous monitoring, testing, and validation of AI/ML systems.
- Awareness and Training: Drive internal awareness programs and provide training for engineering, product, and data science teams on secure AI development.
- Compliance and Best Practice: Ensure company’s AI initiatives comply with relevant industry standards and regulations (e.g., GDPR, CCPA, NIST AI Risk Management).
- Research and Development: Stay current with latest threats and advancements in AI security; propose innovative solutions to emerging risks.
- AI Agent Development: Contribute to building secure and intelligent AI bots/agents, ensuring best practices are followed during design and deployment.
- Development & Tools: Leverage Visual Studio and related development tools to support secure coding, debugging, and integration of AI systems.
- MCP Integration: Apply Model Control Protocol (MCP) knowledge to manage, orchestrate, and securely control AI/ML models across different environments.
What you'll bring:
- Bachelor’s or Master’s Degree in Computer Science, Information Security, Data Science, or related field.
- 5+ years of experience in security engineering, with at least 2 years focused on AI/ML systems.
- Deep understanding of AI/ML development lifecycle and typical vulnerabilities (model inversion, adversarial attacks, data poisoning, etc.).
- Hands-on experience with AI/ML frameworks and security tools (e.g., TensorFlow, PyTorch, IBM Adversarial Robustness Toolbox).
- Proficiency in at least one programming language (Python preferred; C/C++ and Java are a plus).
- Strong knowledge of secure coding principles, cryptography, network security, and privacy-enhancing technologies.
- Experience with cloud-native AI platforms (AWS SageMaker, Azure ML, GCP AI Platform) and securing them.
- Familiarity with regulatory/compliance requirements relevant to AI/ML (GDPR, CCPA, HIPAA, etc.).
- Excellent analytical, communication, and teamwork skills.
- Published research or contributions to open source in the AI security domain.
- Security certifications (e.g., CISSP, OSCP, GCP/AWS Professional Security Engineer).
- Experience with MLOps and DevSecOps pipelines.
- Background in data privacy and ethical AI principles.
Perks & Benefits:
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.To complete your application:Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.NO AGENCY CALLS, PLEASE.Find Out More At:www.zs.com
