Director - Artificial Intelligence/Machine Learning Security

Key Skills

Aartificial intelligence, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Large Language Models - LLMs, Machine learning techniques, Python Programming, Statistics

Job Description

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Come join our Security Integration Team! Focus: Responsible for owning the development and delivery of API security, AI/ML security and low code security platforms that have objectives associated with preserving the confidentiality, integrity, and availability of systems and data across the enterprise. Responsible for designing and implementing processes to understand, measure, and improve the organization’s ability to avoid data exfiltration, corruption, or other exploitation.

Focus: Responsible for owning the development and or delivery of AI/ML security initiatives, projects, or programs that have objectives associated with incorporating AI safety controls, adversarial robustness, and stress testing of AI/ML systems. Responsible for designing and implementing processes to understand, measure, and improve the organization’s ability to protect AI/ML models, implement AI safety controls for responsible use of LLM (Large Language Model) applications.

Organizational Context: Develops and executes end-to-end information security, IT risk management processes and automated capabilities that promote trustworthy AI practices. Works across many organizations, both internal and external, to meet business needs and compliance goals. Leads cross department initiatives, covering a wide range of business/technical functions.

Key Responsibilities

• Establish and implement secure model development life cycle practices with automated white box and black box assessments for AI/ML models.
• Integrate AI robustness, vulnerability, and stress testing capabilities with Machine Learning Operations ecosystems.
• Evaluate and assess open-source AI security libraries to build into enterprise AI stress testing and audit capabilities.
• Establish and implement end-to-end LLM security risk management processes and automated protections.
• Incorporate machine learning models into diverse application security tooling and processes.
• Drive production deployments of AI/ML safety systems using cloud-native packaging and deployment techniques such as containers, serverless, CI/CD and APIs.
• Establish and govern AI/ML and Generative AI application security standards.
• Manage production support and operations for AI/ML security systems.
• Manage cloud deployments and automation frameworks in cloud for AI/ML security systems.

Minimum Qualifications

• Bachelors Degree
• 3+ years as a Director, on a Data Science Team
• 2+ years experience with Adversarial Robustness techniques and tools for machine learning.
• 2+ years of experience with AI Risk Management frameworks and AI practices.
• 3+ years experience with applying statistics, machine learning algorithms, big data, and data science toolkits.
• 3 + years experience designing, implementing, and operationalizing high performant AI/ML pipelines and writing production code.
• 3+experience with deploying and operationalizing AI/ML models to public cloud environments.
• 3+ experience evaluating open-source ML tools, frameworks, and libraries.
• 3+ experience with commonly used data science programming languages, packages, and tools

Preferred Qualifications:

• Demonstrated peer reviewed journal publications, conference presentations, open-source contributions, or similar activities.
• M.S Data Science or Ph.D. in Data Science, Statistics, or Computer Science.

Salary Range: $170,000.00 to $255,000.00 annually + bonus + equity (if applicable) + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• 6% Company Match on retirement savings plan
• Free financial coaching and financial well-being support
• Comprehensive medical, dental, vision, life insurance, and disability benefits
• Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex
• 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.