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Senior Staff Data Engineer, AI/ML, Global Commercial Services Technology

New York, New York, United States
Up to $256,250/ year
Artificial Intelligence Engineer Machine Learning Engineer Staff Engineer Data Engineer
Actively hiring

Senior Staff Data Engineer, AI/ML, Global Commercial Services Technology

American Express
New York, New York, United States
Up to $256,250/ year
Artificial Intelligence Engineer Machine Learning Engineer Staff Engineer Data Engineer
American Express
Actively hiring

hackajob is partnering with American Express to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

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? 

We’re looking for a Senior Staff Engineer, Commercial AI/ML to be the technical leader for AI in GCS-Technology. 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) 

Salary Range: $144,250.00 to $256,250.00 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 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.

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

hackajob is partnering with American Express to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

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