AI Security Architect

Stanley Black & Decker, Inc.•Towson, MD

1d•Hybrid

About The Position

As an AI Security Architect, you’ll be part of our IT team. You will play a critical role in both securing our internally developed AI systems and protecting the organization’s broader technology environment from AI-driven threats. This role requires a proactive approach to designing, implementing, and maintaining security measures that address vulnerabilities within our proprietary AI solutions, while also helping defend against sophisticated attacks leveraging AI technologies in a complex, heavily matrixed Global operating environment. Your expertise will help ensure the confidentiality, integrity, and availability of our digital assets, supporting compliance and organizational resilience in a rapidly evolving threat landscape.

Requirements

Bachelors degree in Cybersecurity, Information Technology, Artificial Intelligence, or a related field
2+ years AI Security Architecture experience
Relevant experience in security roles focused on AI, data analysis, or similar domains.
Proficient in identifying and mitigating risks outlined in the OWASP AI Top Ten
Hands‑on experience applying OWASP API Top Ten principles in real‑world systems
Demonstrated proficiency in programming languages (especially Python) and AI model development.
Strong knowledge of machine learning, neural networks, secure MCP configuration, and data modeling.
Expertise in application security, including secure coding practices, vulnerability assessment, and remediation strategies.
Familiarity with security frameworks, tools (SIEMs, EDRs, firewalls, encryption), and major operating systems.
Understanding of data privacy laws and compliance standards.
This role is not eligible for visa sponsorship (H1B, OPT/CPT, TN etc).

Responsibilities

Develop, implement, and manage security controls and best practices for proprietary AI models, platforms, and supporting infrastructure.
Conduct regular assessments and adversarial testing to identify and mitigate unique vulnerabilities.
Secure the networking components of AI systems, including model gateways, inference APIs, feature stores, and distributed training clusters.
Implement zero‑trust principles across AI microservices, model endpoints, and inter‑service communication channels.
Monitor for and respond to external threats that utilize AI technologies to target the organization’s systems, including automated exploitation, adversarial attacks, and social engineering campaigns powered by AI.
Use AI-powered tools and traditional methods to detect and investigate security incidents in real time across both AI and IT/OT/CT environments.
Train, audit, and maintain machine learning models used for threat detection and anomaly identification, ensuring resilience against adversarial manipulation.
Conduct penetration tests and develop robust mitigation strategies and incident response plans for both AI systems and the wider IT/OT/CT landscape.
Design and manage AI-driven security solutions, such as intelligent orchestration and automated response systems, to enhance organizational protection.
Ensure adherence to regulatory requirements and industry standards for AI and data security and stay current with emerging threats and innovations.