Senior Manager-AI Innovation & Research

AI Labs seeks a Senior AI Researcher (Senior Manager) to lead a team of Ai researchers that will powers credit, fraud and marketing decisions. The candidate serves as a thought leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the models, and algorithms that power our customers’ digital experiences. This role sits at the intersection of applied AI research, large-scale AI platforms, and large-scale compute infrastructure.

The Sr. Manager will help define and execute a forward-looking research agenda and help to translate cutting-edge machine learning, and systems innovation into scalable, governed, and business-critical AI capabilities. Role is focused on creation and integration of foundational models that can provide value for multiple modelling usecases.

The ideal candidate will combine deep hand-on ML research expertise with strong practical knowledge and experience in building scalable infrastructure and data science platforms.

Colleagues in AI Labs serve as key members of the Global Decision Science organization within Credit and Fraud Risk at American Express. This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.

Our Global Decision Science teams use industry leading modelling and AI practices to predict customer behaviour. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

• Lead and drive implementation of advanced AI research and integration into

business in areas such as foundation models, graph-based methods, reinforcement learning, and causal-modelling techniques.

• Lead research and implementation of Tabular Foundational Models (TFMs) for

structured data and modelling usecases.

• Lead research, development and implementation of Sequence-based foundational

models for event streams, such customer actions and transaction histories.

• Partner with business users, technology and infrastructure teams to ensure

solutions are flexible, secure, cost-effective, and compliant with enterprise standards

• Translate research outcomes into production-ready platforms, tools, and

• Advanced degree in Computer Science, Statistics, Operations Research,

Engineering, Mathematics, Economics, Physics, or a related quantitative field or equivalent work experience. 4+ years of work experience in applied research lab organisations is required.

• Very strong record of applied research impact through platforms, patents,

production systems, or enterprise-scale adoption, in addition to traditional publications.

• Expertise with GPU-accelerated ML workloads, high-performance computing, and

advanced optimization techniques are essential.

• Expert knowledge of machine learning and statistical modeling methods for

supervised and unsupervised learning in areas such as transformer and attention-based architectures, deep learning for structured sequential and graph data, multi-task and transfer learning.

• Exceptional programming skills in Python, Spark. Additional knowledge of

• Provide thought leadership for research in Ai research and machine

learning. Present and communicate research findings to senior leadership, influencing enterprise-level decision-making and strategic direction.

• Work in close partnership with other research teams in AI labs.
• Lead a team of Ai researchers and create a highly effective and engaged team

culture focused on innovation.

• Expertise in hybrid-cloud AI/ML infrastructure, including Google Cloud (e.g.,

Vertex AI, BigQuery, Dataproc) and large-scale distributed computing environments.

• Strong knowledge of databases and related languages/tools such as SQL, NoSQL,

Hive, etc.

• Exceptional people leadership and managerial skills
• Ability to work in a dynamic, cross-functional environment, with a strong

• Effective communication skills and ability to explain complex data products

• Strong relationship building and collaborative skills.

At American Express, our culture is built on a 175-year history of innovation, shared values [https://www.americanexpress.com/en-us/company/who-we-are/]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.

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

• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and

• 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.

• Flexible working model with hybrid, onsite or virtual arrangements depending