דרושים » AI » GenAI Security Specialist

As a GenAI Security Researcher, you’ll dive deep into the challenges of AI safety, conducting redteaming operations to identify vulnerabilities in generative AI systems and their infrastructure. You will conduct redteaming operations for finding and addressing risks to ensure AI models are robust, secure, and future-proof. As a Security Researcher, you will:
* Conduct sophisticated black-box redteaming operations to uncover vulnerabilities in generative AI models and infrastructure.
* Design new techniques to bypass the latest AI security mechanisms.
* Evaluate and strengthen the security of AI systems, identifying weaknesses and collaborating to implement improvements.
* Work with cross-functional teams to automate security testing processes and establish best practices.
* Stay ahead of emerging trends in AI security, ethical hacking, and cyber threats to ensure we’re at the cutting edge.

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.



Hybrid:
Yes

What We Are Looking For As a GenAI Security Team Lead, you will lead a team of GenAI researchers, combining both strategic and hands-on, big-picture planning with direct technical contributions. Your primary responsibility will be managing a GenAI-focused team, while fostering a culture of innovation and excellence, providing comprehensive training, guidance, and leadership while ensuring high-quality deliverables. The position balances managerial responsibilities with hands-on technical work (approximately 25%) Key Responsibilities
* Recruit, mentor, and manage a team of GenAI researchers
* Regularly share knowledge with team members and collaborate across departments
* Evaluate and enhance team performance and deliverables quality
* Lead development of automated test harness, continuously evaluating prompts across multiple GenAI models to expose vulnerabilities and measure guardrail effectiveness.



About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

As a GenAI Security Researcher, you’ll be deep diving into AI security challenges by running red teaming operations to find weaknesses in generative AI systems and their setup. Pioneering novel bypass techniques to test the latest AI security defenses. Identifying system flaws, driving remediation efforts, and fortifying overall AI security to help building robust, secure, and future-ready models. Partnering with teams to automate security testing and define enterprise best practices. Staying ahead of the curve in AI security, ethical hack.

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

We are seeking an experienced and detail-oriented GenAI team lead to oversee complex research and delivery efforts focused on identifying and mitigating risks in Generative AI systems. In this role, you will lead a multidisciplinary team conducting adversarial testing, risk evaluations, and data -driven analyses that strengthen AI model safety and integrity. You will be responsible for ensuring high-quality project delivery, from methodology design and execution to client communication and final approval of deliverables. This position combines hands-on red teaming expertise with operational leadership, strategic thinking, and client-facing collaboration. Key Responsibilities Operational and Quality Leadership
* Oversee the production of datasets, reports, and analyses related to AI safety and red teaming activities.
* Review and approve deliverables to ensure they meet quality, methodological, and ethical standards.
* Deliver final outputs to clients following approval and provide actionable insights that address key risks and vulnerabilities.
* Offer ongoing structured feedback on the quality of deliverables and the efficiency of team workflows, driving continuous improvement. Methodology and Research Development
* Design and refine red teaming methodologies for new Responsible AI projects.
* Guide the development of adversarial testing strategies that target potential weaknesses in models across text, image, and multimodal systems.
* Support research initiatives aimed at identifying and mitigating emerging risks in Generative AI applications. Client Engagement and Collaboration
* Attend client meetings to address broader methodological or operational questions.
* Represent the red teaming function in cross-departmental collaboration with other ActiveFence teams.
 
About us:
We are a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact-whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

We are seeking a driven, detail-focused professional to become a vital part of our team as a Generative AI Analyst. In this role, you'll dive into the cutting-edge of technology, meticulously analyzing various content infringements to secure the new wave of Generative AI tools. Your duties will include collaborating with experts in diverse fields such as Hate Speech, Misinformation, Intellectual Property and Copyright, Child Safety, among others. Your tasks will involve writing adversarial; prompts to identify weaknesses in various AI models, including Large Language Models (LLMs), Text-to-Image, Text-to-Video, and beyond. You'll also oversee data management to guarantee the highest quality of outputs.
Responsibilities
* Developing adversarial and risky prompt strategies across several areas of abuse to expose potential vulnerabilities in models.
* Managing projects end-to-end, from initial planning and oversight through Quality Assurance to final delivery.
* Handling extensive datasets across multiple languages and areas of abuse, ensuring precision and meticulous attention to detail.
* Ongoing investigation into new tactics for circumventing foundational models' safety measures.
* Working alongside diverse teams, engineering, product, policy, to tackle new challenges and craft forward-thinking strategies and resolutions.
* Promoting a culture of knowledge exchange and continual learning within the team.

About us:
A trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact-whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, we provide end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

We are seeking a highly motivated and technically proficient Security Researcher to join our security research division. This role is dedicated to performing advanced offensive security assessments against the biggest companies in the world You need to be independent, attentive to details, organized, eager to learn new things, and like to research and solve problems What you’ll do:
* Engage in sophisticated Red Team projects, including the identification of undisclosed API endpoints and development of novel bypass techniques for established security controls
* Lead and execute comprehensive, technically rigorous security research targeting complex web and mobile applications, including reverse engineering and proprietary protocols investigation

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

Alice is seeking an experienced Malware Research Director to build and manage multiple teams dedicated to malware research. This role presents an exciting opportunity to establish a new operation from the ground up, creating processes, optimizing and setting up cross-team collaboration while serving as the primary client interface. The position is primarily leadership, client-facing, creating solutions and requiring exceptional team-building and operational setup skills. The ideal candidate demonstrates high technical skills, proven experience in building teams from scratch, establishing new operations, and strong client relationship management capabilities. Key Responsibilities:
* Establish operational processes, workflows, and quality standards for the new teams
* Coordinate with other departments to integrate the new operation into the existing infrastructure
* Serve as primary client interface, managing relationships and ensuring client satisfaction
* Present research findings and malicious evidence to clients and stakeholders
* Advise on technical aspects for malware research challenges and automated solutions
* Create training programs and onboarding processes for new team members
* Develop performance metrics and evaluation frameworks for team effectiveness
* Lead client meetings, requirement discussions, and project planning sessions
* Collaborate with sales and business development teams on client engagements

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.



Hybrid:
No

we are seeking an experienced Researcher to join our team dedicated to Android malware research. This role presents an exciting opportunity to conduct comprehensive malware analysis, detect emerging threats, and contribute to our understanding of the Android threat landscape. The ideal candidate demonstrates a positive, proactive attitude and excels as a reliable team player with strong technical skills in Android malware analysis. Key Responsibilities:
* Conduct in-depth Android malware research and reverse engineering
* Detect and document emerging Android malware trends and attack vectors
* Analyze Android applications for malicious behavior
* Write detection rules and develop automation processes for Android malware identification
* Collaborate with team members and share knowledge across departments
* Perform static and dynamic analysis of Android malware samples
* Document findings and contribute to threat intelligence reports
About us:
we are a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact-whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, our company provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

We are seeking a dynamic and experienced Threat Hunter to lead proactive cybersecurity efforts by uncovering hidden threats across our environment. In this role, you will drive hypothesis-based hunting, perform deep analysis and validation of security telemetry, investigate suspicious network activity, and continuously improve threat detection and response. You will also assess CVE relevance and exploitability to prioritize real-world risk, and leverage threat intelligence feeds and enrichment pipelines to enhance hunting context, detection accuracy, and response effectiveness.
If you thrive in a fast-paced environment and are excited about pushing the boundaries of cybersecurity, we want to hear from you.
Responsibilities:
Apply data analytics to analyze security-related network data, uncover actionable threat intelligence, detect anomalies and malicious behavior, and automate findings into an enhanced detection system.
Leverage current cybersecurity knowledge to interpret and contextualize findings, enabling informed decision-making and proactive measures to strengthen overall cybersecurity defenses.
Work closely with Product and Engineering to translate threat intelligence into product strategy, prioritized features, and defensive enhancements.
Monitor and analyze the latest vulnerabilities, CVEs, exploits, and threat actor TTPs, with a focus on techniques relevant to microsegmentation, identity security, lateral movement, and internal reconnaissance.
Integrate external threat feeds and intelligence sources into our product - including normalization, enrichment, classification, and validation of feed relevance.
Contribute to detection logic, threat models, and internal tooling that turn intelligence into prevention and protection.
Provide on-the-fly support during customer incident response events and penetration testing exercises by leveraging expertise to promptly detect and block security threats.

Were seeking a visionary Team Lead to lead a AI & backend-focused team building our next-generation Generative AI Platform. This platform will empower cross-functional teams across to design and deploy AI-driven solutions, leveraging cutting-edge advancements in generative AI, cloud-native architectures, and rapid innovation cycles.
In this role, youll manage a high-performing backend team responsible for building scalable microservices and cloud-based infrastructure, while integrating advanced AI capabilities such as evaluation frameworks, RAG pipelines, knowledge base management, embeddings, LLMs, chatbot assistants, and agent orchestration.
What Youll Do:
Lead and mentor a backend engineering team developing a scalable, cloud-native AI platform. Youll foster a culture of technical excellence, collaboration, and ownership while ensuring delivery of robust, production-grade systems.
Define the technical direction and architecture for backend services, focusing on microservices, distributed systems, and AWS-based infrastructure to support AI-driven applications.
Integrate cutting-edge AI capabilities into the platform, including RAG pipelines, embeddings, LLM orchestration, and evaluation frameworks, ensuring performance, scalability, and security.
Collaborate with product and engineering teams to translate business needs into backend solutions that enable AI-agent use cases and accelerate innovation across the organization.
Drive agile processes and best practices, leveraging tools like Jira to manage sprints, track progress, and continuously improve team efficiency and delivery quality.
Scale the team strategically, hiring and onboarding top talent while mentoring future leaders to support the growth of the Gen AI Platform group.