At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

How will you make an impact in this role?

Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure.

Organizational Context: 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.

Focus: Responsible for 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.

Key Responsibilities

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

Minimum Qualifications

Bachelor's Degree in Data Science, Statistics, Computer Science or Software Engineering 3+ years experience with Machine Learning Application Development 3+ years of software engineering experience

Preferred Qualifications

Master's Degree - Data Science, Statistics, Computer Science, or Software Engineering  Machine Learning Operation Professional Certifications Strong knowledge of Adversarial Robustness techniques and tools for machine learning  Strong knowledge of AI Risk Management frameworks and Trustworthy AI practices.  Hands-on experience with applying statistics, machine learning algorithms (DNN, NLP), big data, and data science toolkits. Hands-on experience designing, implementing, and operationalizing high performant AI/ML pipelines and writing production code. Hands-on experience with deploying and operationalizing AI/ML models to public cloud environments. Hands-on experience evaluating open-source ML tools, frameworks, and libraries. Hands-on experience with commonly used data science programming languages, packages, and tools. Hands-on experience with MLOps, DevOps, DataOps and API integrations. Hands-on experience with AI workload management. Hands-on experience with Cloud architecture, design, implementation, and operations. Demonstrated peer reviewed journal publications, conference presentations, open-source contributions, or similar activities.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) 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

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.  

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.