Security Research Engineer AI Security, Agentic AI & Emerging Cybersecurity
Job Summary
Security Research Engineer - AI Security Agentic AI & Emerging Cybersecurity
Must Have Technical Skills
Technical Security Research Engineer to research prototype evaluate and operationalize emerging cybersecurity capabilities.
This is a hands-on role for someone who can move from a research hypothesis to working code proof-of-concept product evaluation and enterprise recommendation.
Roles and Responsibilities
Build agentic AI security harnesses prototypes and POCs for new cyber capabilities.
Research AI Security Agentic AI Application Security quantum/PQC blockchain and other emerging technologies.
Develop and integrate agents LLMs APIs security tools automation and test environments.
Evaluate new cybersecurity products and startups through hands-on testing benchmarking and technical due diligence.
Validate vendor claims and assess security scalability integration complexity and enterprise applicability.
Help transition successful research prototypes toward operational use.
Present technical findings and recommendations to engineering security leadership and investment stakeholders.
Highly Valued
Research papers or presentations at recognized cybersecurity AI or systems forums.
Experience with AI red teaming autonomous penetration testing agent security or AI-native security tooling.
Cybersecurity startup founder or early-stage product experience.
Experience pitching to venture capital corporate venture teams accelerators or investment stakeholders.
Patents open-source security projects vulnerability research or other demonstrated technical innovation.
Certifications: CISSP OSCP CSSLP or equivalent.
The ideal candidate combines the mindset of a security researcher software engineer and emerging-technology evaluator and is comfortable turning new ideas into measurable working cybersecurity capabilities.
Technical Leadership
Masters degree in Cybersecurity Computer Science AI Computer Engineering or related field; PhD welcomed.
Strong hands-on software development skills particularly Python Java Node Go C/C with experience in additional modern programming languages.
Experience with LLMs AI agents tool calling orchestration frameworks APIs cloud containers and security automation.
Strong knowledge of Application Security AI Security vulnerability research threat modeling Secure development Network security infrastructure Security Security Architecture and other security domains.
Demonstrated ability to design experiments build prototypes and evaluate emerging technologies.
Strong technical writing and presentation skills.
Generic Managerial Skills
Masters degree in Cybersecurity Computer Science AI Computer Engineering or related field; PhD welcomed.
Strong hands-on software development skills particularly Python Java Node Go C/C with experience in additional modern programming languages.
Experience with LLMs AI agents tool calling orchestration frameworks APIs cloud containers and security automation.
Strong knowledge of Application Security AI Security vulnerability research threat modeling Secure development Network security infrastructure Security Security Architecture and other security domains.
Demonstrated ability to design experiments build prototypes and evaluate emerging technologies.
Strong technical writing and presentation skills.
Required Skills:
Java