Senior Adversarial AI Security Engineer USM Finastra
Overview
Design and deliver realistic adversarial cyberattacks focusing on AI enabled orchestrated attacks to test security stacks and detection capabilities. Lead AI/ML system assessments automate red team simulations and produce mitigation recommendations. Collaborate with cyber defense teams to improve defenses and provide insights on emerging threats.
What You'll Do11
- 1Lead planning design and implementation of AI/ML system assessments
- 2Continuously test LLM RAG agent systems for adversarial risks and automate in CI
- 3Perform full scope adversarial simulation red team exercises including prompt injection jailbreaks retrieval poisoning
- 4Test model extraction membership inference and agent tool use abuse deliver PoCs and fixes
- 5Work with cyber defense teams to develop improved defense strategies
- 6Prepare reports detailing attack paths findings and mitigation options
- 7Support ongoing assessments by creating automation tools and infrastructure
- 8Research and evaluate emerging technologies and vendor security solutions
- 9Investigate and assess best practices using MITRE ATT&CK framework
- 10Maintain an adversarial mindset and apply critical thinking to security challenges
- 11Communicate effectively both written and verbally
Requirements10
- 1Proven experience with offensive security research and adversarial AI
- 2Demonstrated expertise in Python replay fuzzing automation
- 3Adverse security testing background with security frameworks like MITRE ATT&CK
- 4Experience in regulated environments
- 5OSCP or GXPN certification preferred
- 6Excellent written and verbal communication skills
- 7Ability to thrive in complex global environments
- 8Location must be Atlanta Georgia or surrounding areas
- 9No relocation from New York City or California
- 10Familiarity with cloud platforms AWS Kubernetes Spark Airflow
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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