Associate Manager, AI Security Engineer

SC Johnson has been leading with purpose for 140 years, building high-quality products and iconic brands found in homes, schools and businesses in virtually every country worldwide – including OFF!®, Raid®, Glade®, Windex®, Scrubbing Bubbles®, Ziploc®, Mrs. Meyer’s Clean Day®, method®, Autan®, Baygon®, Mr Muscle®, Duck®, Lysoform® and more.

The 13,000 people of our global, fifth-generation family company are committed to making the world a better place today and for future generations.

The Associate Manager, AI Security Engineer helps enable the rapid, responsible, and secure adoption of artificial intelligence across the business. This hands‑on engineering and development opportunity is intended for an application, data, cloud, AI/ML, infrastructure, or cybersecurity professional who wants to grow into the emerging field of AI security.

The successful candidate is not expected to begin as an expert in every area of AI or cybersecurity; through hands‑on experience, collaboration, mentoring, and targeted development, the engineer will build expertise in AI security architecture, threat modeling, adversarial testing, governance controls, secure AI engineering, and AI‑enabled cybersecurity capabilities.

The engineer will assess risks, identify vulnerabilities, help design and implement security controls, and work with business and technology teams to protect information and systems while preserving the functionality, usability, and business value of AI solutions.

• Translate AI security policies, standards, and architecture requirements into practical engineering controls, reusable implementation patterns, test criteria, and evidence‑producing processes.
• Design and build AI‑enabled cybersecurity solutions, workflows, and automation that improve detection, investigation, response, vulnerability reduction, and control validation.
• Design, implement, and validate safeguards against AI‑specific and traditional security threats, including prompt injection, data exposure, unsafe tool use, excessive agency, model abuse, identity misuse, and supply‑chain risk.
• Support AI development teams with secure build and implementation practices, including approved library and dependency management, secure MCP and tool‑integration patterns, controlled data‑access designs, identity and permission configuration, secrets handling, and approved security patterns.
• Define and execute security validation methods for AI solutions, including threat modeling, adversarial testing, control testing, secure configuration review, and readiness checks before production deployment.
• Establish logging, monitoring, alerting, and response capabilities so AI‑related activity, risks, and incidents can be detected, investigated, contained, and improved over time.
• Communicate AI security risks, options, trade‑offs, and recommendations in clear business terms to support responsible AI adoption; stay current on AI technologies, threats, regulations, and standards and apply relevant developments to security controls and engineering practices.

• Bachelor's degree in cybersecurity, computer science, engineering, information systems, data science, artificial intelligence, or a related discipline, or equivalent relevant education and practical experience.
• 5+ years of relevant hands‑on engineering experience in one or more areas such as application or software development, data engineering, cloud engineering, AI/ML, platform engineering, infrastructure, identity and access management, Dev Ops, or cybersecurity.
• 5+ years of experience designing, building, supporting, testing, or securing enterprise technology solutions, applications, cloud services, data platforms, infrastructure, or…