
AI Security Specialist
6 days ago
This role sits at the intersection of cybersecurity and advanced AI, where the challenge is not just securing systems but anticipating how intelligent models and agents can be subverted, manipulated, or misused.
The focus is on building resilient, adaptive defenses that scale with the complexity of modern AI deployments. With the rapid expansion of Large Language Models (LLMs), agentic frameworks, and AI-driven orchestration, the security landscape is evolving faster than ever - demanding rigorous research, adversarial testing, and engineering of next-generation safeguards.
Key Responsibilities:- Conduct threat modeling for Large Language Models (LLMs), multi-agent systems, plugin/tool-based architectures, and other AI applications.
- Simulate real-world adversarial scenarios, including prompt injection, model manipulation, jailbreaking, supply chain abuse, and other emerging vectors.
- Design and implement robust defense strategies and mitigations against identified vulnerabilities.
- Apply application security principles to the unique attack surfaces and architectures of AI systems.
- Develop red team playbooks to test resilience of AI-driven environments under advanced attack conditions.
- Build proof-of-concept exploits to validate and demonstrate severity of discovered vulnerabilities.
- Continuously monitor and analyze evolving threats around AI safety, data governance, compliance, and adversarial misuse.
- Contribute to advancing security methodologies and standards in the rapidly evolving AI ecosystem.
- Deep understanding of AI/ML concepts and their security implications.
- Experience in threat modeling and adversarial testing.
- Familiarity with AI/ML frameworks and Large Language Models.
- Proficiency in programming languages such as Python or C++.
- Strong analytical and problem-solving skills.
- A challenging and dynamic work environment.
- Opportunities for professional growth and development.
- A competitive salary and benefits package.
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