AI Security Engineer

PayNearMe•Santa Clara, CA

4d•$120,000 - $140,000

About The Position

We are seeking an experienced AI Data Security Engineer to lead efforts in securing the organization’s data and infrastructure against risks arising from both internal and external use of artificial intelligence. This role will focus primarily on protecting company and customer data from misuse, leakage or exposure through internal AI tools, while also addressing emerging threats from external AI-driven attacks and adversarial models. This position is ideal for a hands-on security professional who understands the intersection of AI/ML systems, data governance, and enterprise security as a function of risk. The role will be responsible for developing and maintaining pragmatic controls and guardrails that enable innovation while ensuring compliance and data protection.

Requirements

5+ years of experience in information security or application security, with 1–2 years in AI/ML or data security domains.
Strong understanding of data governance, DLP and security controls for SaaS and cloud environments (AWS preferred).
Familiarity with AI model architectures, data pipelines and risks such as prompt injection, data leakage and model exploitation.
Experience implementing security frameworks (e.g., NIST CSF, ISO 27001, SOC 2, or PCI DSS).
Strong collaboration skills and ability to communicate complex security concepts to non-technical stakeholders.

Nice To Haves

Experience with AI/ML tooling security (e.g., OpenAI, Anthropic, Azure OpenAI or Google Vertex AI).
Knowledge of secure model development lifecycle (SDLC for AI) and MLOps practices.
Demonstrated experience building or integrating AI governance and monitoring systems.
Relevant certifications (e.g., CISSP, CCSK, or AI-specific credentials such as ISACA AAISM or CAISP).

Responsibilities

Develop and implement AI governance and security controls to prevent sensitive data exposure through internal AI tooling (e.g., ChatGPT Enterprise, Copilot, GitHub Copilot, and other LLM-integrated systems).
Establish policies, guardrails, and data classification enforcement for prompt inputs and outputs across all AI-enabled workflows.
Monitor and assess AI tool usage across departments to identify policy violations, data leakage risks or unapproved AI integrations.
Collaborate with Engineering, IT, and Legal to ensure compliance with SOC2, NIST CSF, PCI-DSS, and data privacy regulations (e.g., GDPR, CCPA) in the context of AI data processing.
Develop and maintain a secure AI development environment for internal data science and ML projects.
Support red-teaming and testing of internal AI models to identify vulnerabilities, prompt injection, data exfiltration or model inversion risks.
Identify and mitigate AI-driven external threats, including model-based phishing, deepfake, data poisoning and automated attack tooling.
Work with the security operations and incident response teams to detect and respond to AI-generated or AI-assisted attacks.
Contribute to the organization’s threat intelligence program with a focus on emerging AI risks.
Evaluate and test AI-specific security solutions, including model monitoring, output filtering and anomaly detection tools.

Benefits

Competitive salary and benefits with growth-company options grant
Fast- paced and professional work culture
Stock options with standard startup vesting - 1 year cliff; 4 years total
$50 monthly communication expense stipend to go towards your phone/internet bill
$250 stipend to enhance your WFH setup
Reimbursement for peripheral equipment: monitor (up to $400), keyboard and mouse (up to $200)
Premium medical benefits including vision and dental (100% coverage for employees)
Company-sponsored life and disability insurance
Paid parental bonding leave
Paid sick leave, jury duty, bereavement
401k plan with company matching
Flexible Time Off (our team members typically take off ~3-4 weeks per year)
Volunteer Time Off
13 scheduled holidays