AI Penetration Tester

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BMO U.S.

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🏦 Banking

💸 Finance

💳 Fintech

Banking • Finance • Fintech

BMO U. S. is a diversified financial services company operating in the United States. It offers a broad range of financial products and services including personal and business banking, mortgage services, investments, financial planning, insurance, and wealth management. Additionally, it provides commercial loans, commercial mortgages, and other financial solutions tailored for small businesses and large enterprises. The company places a strong emphasis on customer service and offers digital and cross-border banking solutions to meet the needs of diverse clients. BMO U. S. is also involved in asset management and capital markets operations, making it a full-service financial institution.

📋 Description

• Conduct security assessments of AI systems, LLMs, AI agents, and machine learning applications • Perform adversarial testing including prompt injection, jailbreaks, model manipulation, and abuse-case testing • Execute application, API, and cloud security testing supporting AI-enabled solutions • Develop repeatable AI security testing methodologies, tools, and automation • Partner with development and engineering teams to validate and remediate findings • Produce technical reports and executive summaries communicating risks and recommendations • Research emerging AI threats and attack techniques • Support red team exercises involving AI-enabled attack scenarios

🎯 Requirements

• Typically 7+ years of relevant experience • Post-secondary degree in Information Security, Computer Science, Engineering, Information Systems, Business or related field • Multiple Information Security certifications from a well-recognized institution (e.g. (ISC)2, ISACA, SANS) • Advanced penetration testing experience across web applications, APIs, and cloud environments • Hands-on experience assessing AI/LLM technologies, AI agents, ML models, or GenAI applications • Strong understanding of offensive security methodologies and adversarial attack techniques • Experience with Python scripting and security tool development/automation • Knowledge of OWASP Top 10, API Security Top 10, and emerging OWASP LLM Security risks • Experience performing threat modeling and security assessments • Strong understanding of authentication, authorization, identity, and cloud security concepts • Ability to clearly document findings and remediation recommendations

🏖️ Benefits

• Health insurance • Tuition reimbursement • Accident and life insurance • Retirement savings plans