AI Security Engineer at Deloitte

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

20 Jun, 26

Salary

0.0

Posted On

22 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Security, ML Security, Security Controls, Model Integrity, Adversarial Attacks, Threat Modeling, Cloud Security, Python, Go, Data Poisoning, Prompt Injection, RBAC/ABAC, Containerization, AWS, Azure, GCP

Industry

Business Consulting and Services

Description

AI Security Engineer We are seeking an experienced and highly skilled AI Security Engineer to join a dynamic team of AI Security engineers in Israel. This critical role will be responsible for designing, building, and maintaining robust security controls for our Artificial Intelligence (AI) and Machine Learning (ML) systems and their underlying platforms. The successful candidate will proactively identify and mitigate unique security risks associated with the AI/ML lifecycle, including model integrity, data poisoning, adversarial attacks, and system robustness. This is a highly technical role that will design, code and deploy AI security solutions to support our company’s AI initiatives. Key Responsibilities ● Design and implement end-to-end security controls for the entire ML/AI pipeline, from data ingestion and model training to deployment and production monitoring. This includes: ○ Security reference architectures for various AI deployment patterns, including MCP/Agentic AI. ○ Control deployment to ensure model integrity and governance, ensuring proper access control (RBAC/ABAC) to models and feature stores. ○ AI tooling to improve and automate overall cybersecurity posture across the board, including the entire incident management lifecycle, vulnerability management, 3rd party Risk, and managing emerging AI threat vectors. ● Collaborate with data scientists and software engineers to integrate security best practices into the AI development lifecycle, including secure model training, validation, and deployment. ● Support security engineers in the evaluation of AI systems being developed and implemented. Conduct threat modeling specific to AI/ML systems, identifying vulnerabilities related to data poisoning, model evasion, extraction, and integrity. ● Research and Innovate: Stay abreast of the latest advancements in AI security, conduct research, and contribute to the development of innovative security solutions. Requirements Required Qualifications: ● Experience: Minimum of 3 years in Information Security, with at least 1+ years focused on securing AI/ML systems. Experience in analyzing systems and identifying security and abuse problems, threat modeling, and remediation is critical in this role. ● Education (Preferred): Minimum BA/BS degree. Advanced degree (Masters, PhD) in Computer Science, Data Science, Cyber Security, or a related quantitative field is preferred. ● Technical Expertise: ○ Deep understanding of the ML/AI lifecycle and its associated security risks. ○ Expertise in cloud security platforms (AWS, Azure, or GCP) and services related to AI/ML (e.g., SageMaker, Vertex AI). ○ Strong knowledge of data security principles, including encryption, masking, and tokenization. ○ Deep understanding of AI specific threats, including adversarial ML, data poisoning, prompt injection and model inversion and inference attacks and associated defensive measures ○ Strong knowledge of application security architecture best practices and architecture patterns ○ Strong coding experience in AI relating languages such as Python/Go ○ Familiarity with containerization and orchestration technologies and AWS ● Certifications (Preferred): Relevant security certifications such as CISSP, CSSLP, or specialized AI security certifications. ● Knowledge of AI related security related frameworks and standards Soft Skills: ● Excellent communication skills, with the ability to translate complex security concepts into clear requirements for both technical and non-technical audiences. ● Proven ability to work collaboratively across diverse teams (Data Science, Engineering, Product, Cybersecurity). ● Strong problem-solving skills and a proactive approach to emerging AI security challenges. We at Deloitte believe that diversity and inclusion among our people is a critical component of our success and that is why we cultivate an organizational culture that contains and embraces diversity in all its forms. Description Hebrew null Requirements Hebrew null

Responsibilities

This role involves designing, building, and maintaining robust security controls for AI/ML systems, focusing on identifying and mitigating unique security risks across the entire ML/AI lifecycle, from data ingestion to production monitoring. Key tasks include implementing end-to-end security architectures, automating cybersecurity posture, and collaborating with data scientists to integrate security best practices.