AI Security Engineer
Apply directly on Haystack’s careers site — no account needed.
About the role
We are working with a leading cybersecurity firm focused on securing enterprise AI adoption across frontier model integrations, generative AI applications, AI agents, and traditional technology environments. This innovative company is at the forefront of AI security, cloud security, security architecture, and automation, dedicated to assessing and reducing sophisticated risks in the evolving AI landscape.
The Role
The Role
- Assess security risks across LLMs, frontier models, AI agents, RAG solutions, vector databases, APIs, and enterprise AI integrations.
- Identify and mitigate AI risks, including prompt injection, data leakage, model misuse, insecure tool use, and unauthorized access.
- Conduct AI threat modeling, AI red teaming, adversarial testing, and validation of AI security controls.
- Use AI-enabled tools to discover vulnerabilities in applications, APIs, cloud environments, infrastructure, and enterprise systems.
- Design and review secure AI architectures across AWS and Microsoft Azure.
-
Support AI security standards, secure AI development guidelines, AI risk assessments, and AI incident response processes.
- 5+ years of experience in cybersecurity, security architecture, application security, cloud security, DevSecOps, or security engineering.
- Strong understanding of threat modeling, vulnerability management, IAM, application security, API security, cloud security, data protection, logging, monitoring, and incident response.
- Experience securing AI/ML workloads, LLM applications, RAG pipelines, AI agents, or model-serving platforms.
- Hands-on experience with AWS and/or Microsoft Azure security controls.
- Experience with scripting or automation using Python or similar languages.
-
Familiarity with AI security risks, including prompt injection, jailbreaks, data leakage, model misuse, insecure tool use, excessive agency, and adversarial attacks.
- Opportunity to work at the intersection of AI security, cloud security, security architecture, and automation.
- Engage with cutting-edge technologies and frontier model integrations.
- Contribute to strengthening cybersecurity using AI-enabled tools.
-
Be part of a team dedicated to addressing critical security challenges in enterprise AI adoption.
Description sourced from the public LinkedIn listing — this role isn't indexed from the company's career page yet.
Skills
- Python
- AWS
- Azure
- IAM
- Vulnerability Management
Never be applicant #200 again
Every job here is indexed straight from company career pages — often hours after it opens, before it reaches the big boards. Create a free account and get your best matches in a twice-daily digest.
- Your best matches, twice a day
- No duplicates, no ghost jobs, no recruiter spam
- Every job free to browse — pay only when you apply
Get my matched jobs
Free account — no card required
93 122 live jobs · 17 643 companies tracked · 90 added today