Lead AI Cybersecurity Champion

Sherwin-Williams•Cleveland, OH

2d•Onsite

About The Position

The Lead AI Application Security Champion partners with development teams to identify and address security risks throughout the software development lifecycle, with an emphasis on LLM-based, internally developed, and agentic AI applications. The role facilitates threat modeling, develops security requirements, prioritizes vulnerabilities, provides remediation guidance, and helps teams apply application and AI security standards and best practices. It also contributes to security standards and guidance, connects teams with Cybersecurity resources, and may develop scripts, automation, and tools that improve application security capabilities. The position serves as the primary Application Security partner for an assigned portfolio of development teams and applications. It supports secure design and implementation, reviews application and AI architectures and integrations, assists with vulnerability remediation, and tracks risks and progress. The role may also create documentation and training, mentor developers, evaluate tools and technologies, and contribute to cross-training and team activities. This role is based at the Company’s Global Headquarters in downtown Cleveland, Ohio, and is not remote or hybrid. The position is not eligible for work authorization sponsorship now or in the future. A criminal-history review may be conducted because the job involves contact with employees and access to confidential, proprietary, or valuable information.

Requirements

Bachelor’s degree or foreign equivalent, or at least 12 years of experience in Information Technology or Business in lieu of a degree (including a combination of education and work experience in those fields).
At least 8 years of IT and/or cybersecurity experience.
At least 8 years of experience in software development, application security, cybersecurity, or a related technology field.
Experience working across multiple phases of the Software Development Lifecycle.
Strong knowledge of secure software design and development practices.
Strong knowledge of web applications, APIs, and common application security vulnerabilities.
Strong knowledge of authentication, authorization, session management, and identity security.
Strong knowledge of application architecture, data flows, integrations, and trust boundaries.
Strong knowledge of threat modeling, abuse-case analysis, and security requirements development.
Strong knowledge of vulnerability prioritization and remediation practices.
Strong knowledge of cloud-native application architectures and cloud security practices.
Experience partnering with software development teams to identify and resolve application security risks.
Experience facilitating technical discussions and communicating security requirements to developers, architects, product owners, and other stakeholders.
Experience reviewing application designs and recommending practical security controls.
Familiarity with AI-enabled application architectures and associated security risks.
Demonstrated aptitude and interest in LLM, machine learning, and agentic AI security.
Ability to work independently and collaboratively across development, architecture, product, and Cybersecurity teams.
Ability to manage security engagements across a portfolio of teams and applications.
Software development experience using one or more programming or scripting languages.
Experience providing secure design and remediation guidance for complex application vulnerabilities.
Experience reviewing source code to identify security weaknesses or validate remediation.
Experience developing scripts, automation, reusable security components, or application security tools.
Must be legally authorized to work in the United States without company sponsorship, now or in the future.
Must be at least 18 years of age.

Nice To Haves

Experience performing security testing of AI-enabled applications, LLMs, or related technologies.
Experience designing, developing, or supporting LLM-based applications, machine learning solutions, or agentic AI systems.
Experience performing threat modeling for AI-enabled applications.
Familiarity with security risks involving prompts, models, training or retrieval data, agents, tools, plugins, APIs, and third-party AI services.
Experience evaluating authorization boundaries and tool permissions within agentic AI applications.
Familiarity with application penetration-testing methodologies and techniques.
Experience developing security standards, technical guidance, or reusable secure development patterns.

Responsibilities

Acquire and interpret business, functional, technical, and architectural requirements to define application and AI security requirements.
Facilitate threat modeling and abuse-case analysis for traditional and AI-enabled applications.
Work with development teams, architects, and Cybersecurity partners to identify security risks and recommend appropriate controls.
Maintain knowledge of application and AI security practices, technologies, threats, and regulatory considerations through training, research, and collaboration.
Assist in developing and maintaining application and AI security standards, guidance, and reusable security patterns.
Identify opportunities to improve secure development practices and application security capabilities.
Work with architects and developers to incorporate security requirements and practices into new and existing application functionality.
Provide security guidance for LLM-based applications, internally developed AI solutions, agentic AI systems, and applications integrating third-party AI services.
Assist development teams with applying application and AI security standards throughout the software development lifecycle.
Recommend secure architecture, authentication, authorization, data protection, API security, and AI component integration practices.
Help development teams understand, prioritize, and remediate application security vulnerabilities.
Develop or recommend reusable guidance, patterns, reference implementations, and other resources that support secure development.
Serve as the primary Application Security partner for an assigned portfolio of development teams and applications.
Facilitate security reviews, threat modeling sessions, and other secure design activities.
Evaluate application designs, data flows, trust boundaries, model interactions, agent capabilities, and external integrations for security risks.
Provide risk-based guidance for prioritizing and remediating application security findings.
Connect development teams with appropriate Cybersecurity resources and specialized services.
Assist development teams with engaging application penetration testers when security assessments are needed.
Track and report activities, risks, recommendations, and progress associated with assigned teams and applications.
Create and maintain application and AI security documentation, guidance, reference materials, and standard operating procedures.
Develop and deliver application and AI security training or knowledge-sharing sessions.
Participate in cross-training related to application penetration testing and AI security testing.
Mentor developers and other team members in secure development practices.
Assist with evaluating tools, technologies, frameworks, and service providers.
Contribute to scripts, automation, reference implementations, and tools that improve capabilities.
Participate in team planning, retrospectives, and knowledge-sharing activities.
Make presentations to management, development teams, and peer groups as requested.
Perform project and task tracking and reporting as necessary.