Principal Engineer - AI Secrurity

Location: Remote (United States)

About The Company

Our client is a financial services organization committed to helping people be wise with money and live balanced and generous lives. They emphasize long-term growth, attracting and retaining top talent, continuous improvement, innovation, strong security practices, and an unwavering commitment to its clients.

Responsibilities

• Define the enterprise strategy and architecture for defending against AI-enabled threats, including automated vulnerability discovery, exploitation, adversarial AI techniques, and generative AI threat patterns.
• Lead development of scalable detection and response capabilities, telemetry strategies, response playbooks, automation, and defensive applications of AI across enterprise environments.
• Build AI-focused threat models, lead research into emerging adversarial techniques, and maintain expertise in frameworks such as OWASP LLM Top 10 and MITRE ATLAS.
• Partner with Cyber Defense, IAM, Application Security, product, and engineering teams to embed AI security requirements into architecture decisions while influencing senior leadership on AI risk posture and required investments.
• Establish AI security standards, guardrails, detection frameworks, and secure engineering patterns.
• Evaluate security technologies and vendors, mentor engineers, and build AI security expertise across the organization.

Requirements

• Bachelor’s degree in Computer Science, Cybersecurity, or related technical field, or equivalent work experience.
• 10+ years of experience in security engineering or a related field, including proven experience defining and executing enterprise security strategy.
• Deep knowledge of modern threats, attack techniques, detection engineering, threat modeling, incident response, security operations, and enterprise security architecture.
• Demonstrated ability to influence both technical and executive stakeholders and translate complex AI security risks into actionable guidance.

Preferred Qualifications

• Experience working with AI/ML systems and security implications.
• Knowledge of adversarial AI techniques and AI threat modeling.
• Experience with XDR, SIEM, and detection engineering practices.
• Familiarity with AI security frameworks, including OWASP LLM Top 10 and MITRE ATLAS.
• Financial services industry experience.

Benefits

• Competitive salary based on experience level.
• Medical, dental, and vision insurance; HSA; FSA; EAP; well-being benefits; life insurance; disability insurance; and supplemental protection insurance.
• Remote work arrangement; 20 days of PTO annually; Sick and Safe Time; 10 paid company holidays; Volunteer Time Off; and paid parental leave.
• Opportunities to lead research, mentor engineers, deliver AI security training and workshops, and engage with the broader AI and cybersecurity community.
• Potential annual or long-term incentives, 401(k), pension, and other employee benefits.