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Description

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.

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.

How will you make an impact in this role?

**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.

Qualifications

Salary Range: $110,000.00 to $190,000.00 annually bonus 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 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

+ 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 working model with hybrid, onsite or virtual arrangements depending on role and business need

+ 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 .

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. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

US Job Seekers - Click to view the “ Know Your Rights ” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

**Job:** Technologies

**Primary Location:** US-New York-New York

**Other Locations:** US-Arizona-Phoenix, US-Florida-Sunrise

**Schedule** Full-time

**Req ID:** 25008410