Al/ML Security Engineer

Key Responsibilities
Design, develop, and maintain platforms for evaluating the security of AI agents and AI-powered applications
Build adversarial testing frameworks to assess AI model robustness, reliability, and security
Develop and execute AI red-team exercises, attack simulations, and security assessments
Create prompt injection, jailbreak, data exfiltration, and model abuse testing scenarios
Design and implement automated risk scoring and AI security evaluation methodologies
Simulate agent misuse, tool abuse, privilege escalation, and unauthorized access scenarios
Integrate Large Language Models (LLMs), agent orchestration frameworks, and evaluation systems
Build secure evaluation pipelines, telemetry frameworks, monitoring capabilities, and security analytics solutions
Implement sandboxing, isolation controls, and secure testing environments for AI systems
Analyze security findings, vulnerabilities, and failure patterns within AI applications and agentic systems
Translate security assessment results into actionable remediation plans, engineering requirements, and risk mitigation strategies
Collaborate with engineering, product, machine learning, and security teams to improve AI system security
Conduct threat modeling exercises for AI applications, workflows, APIs, and supporting infrastructure
Develop security controls, governance standards, and best practices for AI-powered systems
Support secure software development lifecycle (SSDLC) initiatives across AI and machine learning projects
Research emerging threats, attack techniques, and vulnerabilities targeting AI systems and LLMs
Create technical documentation, security assessment reports, and testing methodologies
Contribute to continuous improvement of AI security tooling, frameworks, and operational processes

Required Qualifications
8+ years of experience
Bachelor's degree in Computer Science, Cybersecurity, Artificial Intelligence, Machine Learning, Engineering, or a related field
Certified Information Systems Security Professional (CISSP)
Certified Cloud Security Professional (CCSP)
GIAC Security Certifications
Certified Ethical Hacker (CEH)
Relevant AI, Machine Learning, Cloud, or Cybersecurity certifications

Skills
Python Programming
Large Language Models (LLMs)
AI/ML Engineering
Application Security
Cybersecurity
Cloud Platforms (AWS, Azure, Google Cloud Platform)
APIs and Microservices
Adversarial Machine Learning
Agent Orchestration Frameworks
Containerization and Sandboxing
Security Telemetry and Monitoring
DevSecOps
Penetration Testing
Security Frameworks and Compliance Standards
Threat Modeling
Vulnerability Assessment
AI Red Teaming
Secure Software Development Lifecycle (SSDLC)
Risk Assessment and Mitigation
Security Research and Threat Intelligence
AI Governance and Responsible AI
Technical Documentation
Cross-functional Collaboration
Written and Verbal Communication
Analytical Problem Solving

Schedule
Start date: 2026-09-22