Senior Staff Data Engineer, AIML, Global Commercial Services Technology,

Salary Range: $144250.00 to $256250.00 annually bonus equity (if applicable) benefits

The above represents the expected salary range for this job requisition. Ultimately in determining your pay well 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. Thats 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: eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

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 youll 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

Were looking for a Senior Staff Engineer Commercial AI/ ML to be the technical leader for AI in this role you will:

• Refine and champion the technical strategy for implementing AI at scale across customer facing and internal use cases for GCS

• Partner closely with engineering teams across GCS-Technology to support them in building best-in-class AI solutions

• Balance enabling rapid value delivery with putting scalable frameworks and patterns in place to ensure we can responsibly scale and iterate on AI solutions

• Be a trusted thought partner to our GCS stakeholders to closely co-create solutions to our most challenging problems

• Work closely with central enterprise teams to collaborate on enterprise wide best practices

Minimum Qualifications

• 10 years of experience in data and AI/ML engineering development including significant hands-on experience building AI solutions

• Strong Python programming skills

• Experience with Deep Learning libraries like TensorFlow and PyTorch

• Deep understanding of LLMs Generative AI Agentic concepts

• Experience evaluating and implementing RAG and Fine-Tuning solutions

• Proven ability to implement scaled AI solutions integrated with real-time customer products

• Experience creating MLOps best practices

• Expertise building cloud based big-data solutions (Azure AWS GCP)

Required Experience:

Staff IC