If you have a strong will to learn and educate, as well as are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to use Data Science, A.I./Machine Learning, and Technology skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide.
You will be leading an energetic A.I./Machine Learning cross-functional team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Web, Mobile, Marketing, Enterprise Automation, etc.) to drive a cohesive set of solutions enabling the ever-growing strategic capabilities in the AI field.
This role within American Express Technology (AET), will report into the Vice President, Enterprise Services Decision Science Center of Excellence (CoE).
Responsibilities- Drive AI and decision science vision, strategy, and execution across the organization
- Combine A.I./Machine Learning and Technology knowledge to implement highly scalable solutions to solve real-world problems in areas such as Generative AI, Personalization, Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions
- Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions.
- Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale
- Drive both high-level and detailed technical designs and conduct design reviews as needed
- Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration
- Provide technical mentorship to team members at all levels
- Actively participate in business and technical discussions and forums across Amex
- Master’s Degree in Computer Science, Computer Engineering, Information Systems, or related STEM fields. PhD degree preferred.
- Proven track record on producing outstanding research results (Journal and/or Conference publications, and patterns) is a must.
- 8+ years full lifecycle product development and engineering leadership in highly available, highly scalable, high throughput systems
- 8+ years of experience in building and delivering sophisticated solutions that leverage various AI solutions, machine learning algorithms or technologies and are able to scale optimally.
- Expert in at least one of the following fields:
o Generative AI
o Machine Learning
o Deep Learning
o Reinforcement Learning
o Natural Language Processing
o Optimization
o Probabilistic Inference
o Information Retrieval
o Recommendation Systems
o Bayesian Inference
o Advanced time series forecasting
- Hands-on Experience with most of the following open-source solutions:
o Orchestrate: Airflow, Kubeflow Pipelines, ML Run
o Container: Docker, Kubernetes, Mesos + Marathon
o Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow
o Observability: Prometheus, Grafana, Elasticsearch
o Development:
- Programming Language: Python, Java, Scala, Julia
- IDE: Notebooks, PyCharm, VS Studio
- Machine Learning: TensorFlow, Keras, ScikitLearn, H20.ai, XGBoost, MXNet
- Feature Store: Hopsworks, Feast, or other purposed built Feature Store
- Model Format: ONNX, PMML
- Ability to convey complex, technical subject matter in a clear and straightforward manner; demonstrated ability to effectively communicate through written and oral presentations with all levels of the organization
- Solid project management skills with the ability to juggle multiple priorities simultaneously in a fast-paced environment
- Hands-on Experience with GCP and/or AWS is a plus.
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. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our 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.
About the TeamWe 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
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
Skills Required
- Master's degree in Computer Science, Computer Engineering, Information Systems, or related STEM field
- PhD in related field
- Proven record of research publications (journals/conferences)
- 8+ years full lifecycle product development and engineering leadership for highly available, scalable, high-throughput systems
- 8+ years building and delivering scalable AI/ML solutions
- Expertise in at least one: Generative AI, Machine Learning, Deep Learning, Reinforcement Learning, NLP, Optimization, Probabilistic Inference, Information Retrieval, Recommendation Systems, Bayesian Inference, Advanced Time Series Forecasting
- Hands-on experience with orchestration tools (Airflow, Kubeflow Pipelines, MLRun)
- Hands-on experience with container and cluster tools (Docker, Kubernetes, Mesos, Marathon)
- Experience with model serving frameworks (Kubeflow KFServing, TensorFlow Serving, Seldon-Core, MLflow)
- Experience with observability tools (Prometheus, Grafana, Elasticsearch)
- Proficiency in programming languages: Python, Java, Scala, Julia
- Experience with ML frameworks: TensorFlow, Keras, Scikit-learn, H2O.ai, XGBoost, MXNet
- Experience with feature stores (Hopsworks, Feast)
- Familiarity with model formats ONNX and PMML
- Ability to convey complex technical subjects clearly in written and oral presentations
- Solid project management skills and ability to manage multiple priorities in a fast-paced environment
- Hands-on experience with GCP and/or AWS
American Express Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about American Express and has not been reviewed or approved by American Express.
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Healthcare Strength — Pay is often viewed as attractive when combined with comprehensive health, dental, and vision coverage that supports day-to-day needs. The benefits package is also framed as especially helpful for those supporting dependents.
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Retirement Support — Retirement benefits are positioned as a meaningful part of total rewards through a 401(k) plan with company matching. Financial wellness services and coaching are also highlighted as strengthening longer-term financial security.
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Leave & Time Off Breadth — Paid time off is repeatedly characterized as generous and a valued component of the overall package. Time off and flexibility are presented as helping the total rewards feel more complete beyond base salary.
American Express Insights
What We Do
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.
