AI Security Architect

Stanley Black & Decker, Inc.

AI Security Architect securing proprietary AI systems within Stanley Black & Decker. Focus on protecting technology environment from AI-driven threats while ensuring compliance and resilience.

Posted 5/23/2026full-timeTowson • Maryland • 🇺🇸 United StatesJuniorMid-Level💰 $115,800 - $199,800 per yearWebsite

Tech Stack

Tools & technologies

Cyber SecurityFirewallsMicroservicesPython

About the role

Key responsibilities & impact

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.
Use AI-powered tools and traditional methods to detect and investigate security incidents in real time.
Train, audit, and maintain machine learning models used for threat detection and anomaly identification.
Conduct penetration tests and develop robust mitigation strategies and incident response plans.
Design and manage AI-driven security solutions to enhance organizational protection.
Ensure adherence to regulatory requirements and industry standards for AI and data security.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Medical, dental, life, vision, disability
401(k)
Employee Stock Purchase Plan
Paid time off
Tuition reimbursement
Discounts on Stanley Black & Decker tools and other partner programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI Security ArchitecturePythonmachine learningneural networkssecure MCP configurationdata modelingapplication securityvulnerability assessmentremediation strategiesOWASP API Top Ten