Principal AI Security Engineer

Summary

Join Marqeta as a Principal AI Security Engineer to lead the AI security strategy and be the primary technical owner for AI risk management. You will ensure the AI framework's security, develop AI-native security capabilities, and maintain efficient software development. Lead technical AI security strategy across ML and Generative AI infrastructure, build comprehensive AI security tools and frameworks, and drive AI risk management across technical areas. This individual contributor role includes mentoring and focuses on maturing the AI security function. The ideal candidate will have a passion for AI security and a desire to shape the future of secure AI in fintech. This position offers a competitive salary and a comprehensive benefits package, including flexible work options and various perks.

Requirements

• A minimum of 10 years related security engineering experience with demonstrated technical leadership; or equivalent combination of related education and work experience
• Strong background in data and ML security (generative AI experience preferred but flexible for the right candidate)
• Deep understanding of AI/ML security risks including adversarial attacks, model poisoning, data privacy, and bias
• Experience with cloud AI/ML platforms (AWS Bedrock, Azure AI, GCP AI Platform, etc.)
• Proven ability to build security frameworks and tools from the ground up
• Strong programming skills in Python, with experience in ML frameworks (TensorFlow, PyTorch, etc.)
• Experience with security assessment methodologies and risk management frameworks
• Experience with compliance and control frameworks (PCI DSS, SOX, SOC2, ISO27001, GDPR, NIST CSF)

Responsibilities

• Lead technical AI security strategy across ML and Generative AI infrastructure, serving as the primary technical owner for the Model Risk Office from a security perspective
• Build comprehensive AI security tools, frameworks, and AI-powered security solutions that enable secure AI/ML systems at scale
• Drive AI risk management across all technical areas including model security, adversarial attacks, data privacy, and AI supply chain security while partnering with legal and privacy teams on governance
• Lead AI security strategy and risk assessment across customer-facing AI products, fraud detection models, LLMs, and recommendation systems
• Build and maintain AI security frameworks, tools, and monitoring capabilities for model validation and ongoing risk management
• Conduct security assessments of AI/ML model architectures, training pipelines, and deployment infrastructure
• Develop security controls specifically designed for AI/ML systems including adversarial attack prevention and bias mitigation
• Mentor security engineers and cross-functional teams on AI security best practices
• Partner closely with AI/ML engineering, data science, product security, and compliance teams
• Create secure AI development lifecycle practices and self-service security capabilities
• Drive technical decisions for AI security architecture and implementation across the organization

Preferred Qualifications

• Financial services or fintech experience strongly preferred
• Experience with payment processing systems and fraud detection models
• Knowledge of AI governance and model risk management practices
• Background in data science or machine learning engineering
• Experience with privacy-preserving ML techniques (differential privacy, secure multi-party computation)
• Experience with Kubernetes and containerized AI/ML workloads
• Experience with IaC tools such as Terraform for AI infrastructure
• CISSP, CCSP, CISA, or other appropriate security certifications
• Experience building and scaling security programs in high-growth environments

Benefits

• Multiple health insurance options
• Flexible time off – take what you need
• Retirement savings program with company contribution and after tax contributions
• Equity in a publicly-traded company and an Employee Stock Purchase Program
• Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
• Free therapy sessions, financial and professional coaching, and legal advice
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development