AI Security Architect

About the role

Why Choose Bottomline? Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team! Job Summary This role sits within Security Architecture and Product Security and focuses on the secure adoption and use of modern application technologies, including Artificial Intelligence capabilities, across products and services. The AI Security Architect partners with Engineering, Product, and Data teams to ensure solutions are implemented safely, align to defined security patterns, and meet security standards, with a focus on risk identification, secure design guidance, and practical control implementation. Essential Functions and Responsibilities: Architecture design and development - partner with Enterprise Architecture, Product and Development teams to assess security controls within products and services. Provide security best-practice guidance for modern application use cases, including AI/ML Review proposed AI solutions and ensure alignment to approved security patterns Identify and help mitigate AI-specific risks, including data leakage and model misuse. Partner with Penetration Testing team to design and execute effective threat modeling. Help maintain security patterns and guardrails and support adoption by engineering teams. Support security assessments of external AI vendors and embedded capabilities in platforms. Provide input to broader security standards and patterns related to AI use cases . Required Experience & Qualifications 3+ years of experience in Cybersecurity Bachelor's degree in Computer Science, Information Security, or a related field Working knowledge of modern application architectures, including exposure to AI/ML concepts Good understanding of application, cloud, and data security principles, including identity, access management, and secure API design Good knowledge of cybersecurity frameworks (e.g., NIST, CIS, ISO 27001) and regulatory requirements (e.g., PCI, GDPR, SWIFT) Preferred Experience & Qualifications Cyber certifications (e.g., CISM, CISSP, CEH, GSEC, CASP+, CEH) or equivalent Note : This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the position. We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.