Marqeta

Principal AI Security Engineer

United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Artificial Intelligence, AI & Machine Learning, CybersecurityIndustries

Requirements

Candidates should have a minimum of 10 years of related security engineering experience with demonstrated technical leadership, or an equivalent combination of related education and work experience. A strong background in data and ML security, particularly generative AI, is required, along with a deep understanding of AI/ML security risks like adversarial attacks, model poisoning, data privacy, and bias. Experience with cloud AI/ML platforms, building security frameworks and tools from scratch, and strong programming skills in Python with ML frameworks such as TensorFlow or PyTorch are essential. Familiarity with security assessment methodologies, risk management frameworks, and compliance frameworks like PCI DSS, SOX, SOC2, ISO27001, GDPR, and NIST CSF is also necessary. Financial services or fintech experience, knowledge of AI governance, and experience with privacy-preserving ML techniques are preferred.

Responsibilities

The Principal AI Security Engineer will lead the technical AI security strategy across ML and Generative AI infrastructure, acting as the primary technical owner for AI risk management and the Model Risk Office from a security perspective. This role involves building comprehensive AI security tools, frameworks, and AI-powered security solutions to enable secure AI/ML systems at scale. Responsibilities include driving AI risk management across model security, adversarial attacks, data privacy, and AI supply chain security, while partnering with legal and privacy teams on governance. The engineer will also lead AI security strategy and risk assessment for customer-facing AI products, fraud detection models, LLMs, and recommendation systems, build and maintain AI security frameworks, tools, and monitoring capabilities, and conduct security assessments of AI/ML model architectures, training pipelines, and deployment infrastructure. Developing security controls for AI/ML systems, mentoring security engineers and cross-functional teams on AI security best practices, partnering closely with AI/ML engineering, data science, product security, and compliance teams, and creating secure AI development lifecycle practices are also key duties. The role involves driving technical decisions for AI security architecture and implementation across the organization.

Skills

AI Security
Machine Learning Security
Generative AI Security
Model Risk Management
Adversarial Attacks
Data Privacy
AI Supply Chain Security
Security Frameworks
Security Tools
AI-powered Security Solutions
Model Validation
Bias Mitigation
Security Assessments
ML Engineering
Data Science
Product Security
Compliance

Marqeta

Card issuing and payment processing solutions

About Marqeta

Marqeta provides modern card issuing and payment processing solutions in the fintech sector. Its platform allows businesses to create, issue, and manage payment cards tailored to their specific needs, such as expense management and consumer payments. The service operates through an open API, enabling clients to integrate Marqeta's capabilities into their own applications. This flexibility sets Marqeta apart from competitors, as it caters to a diverse range of clients, including financial institutions and tech companies. The company generates revenue primarily through transaction fees each time a card is used, along with potential setup and service fees. Marqeta's ability to quickly adapt to the growing demand for digital payments, especially during the COVID-19 pandemic, has contributed to its significant presence in the market.

Oakland, CaliforniaHeadquarters
2010Year Founded
$526.5MTotal Funding
IPOCompany Stage
Fintech, Financial ServicesIndustries
501-1,000Employees

Benefits

Medical, dental, & vision coverage
Flexible time off
Paid family leave
Pet insurance
401k match
Equity
Monthly stipends
Company recognition & awards
Employee Stock Purchase Program

Risks

Class action lawsuit may harm Marqeta's reputation and investor confidence.
Increased regulatory scrutiny could raise compliance costs for Marqeta.
EWA platforms might disrupt Marqeta's traditional card issuing model.

Differentiation

Marqeta's open API platform allows for highly customizable payment solutions.
The company operates in 40 countries, offering a global card issuing platform.
Marqeta's cloud-based infrastructure enables instant access to scalable payment systems.

Upsides

Partnership with Slope taps into the growing Buy Now, Pay Later market.
Demand for flexible working capital solutions boosts Marqeta's embedded finance offerings.
Smarter AI models enhance Marqeta's payment processing capabilities.

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