Senior Manager-AI Innovation & Research

American Express; Bengaluru; Hybride; INR 4 000 000 - 7 000 000; Plein temps

Avantages offerts par ce poste

Competitive base salaries

Bonus incentives

Comprehensive medical/dental/vision

Flexible hybrid/onsite arrangements

Parental leave policies

Wellness and mental health support

Résumé du poste

American Express is seeking a Senior AI Researcher (Senior Manager) to lead a team of researchers focused on foundation models powering credit, fraud, and marketing decisions. You will blend business and technical expertise to create scalable AI capabilities and drive a forward-looking research agenda across enterprise platforms.

The ideal candidate combines hands-on ML research with building scalable data science platforms, while guiding a talented team within Global Decision Science to manage

Qualifications

• Advanced degree in a quantitative field with 4+ years in applied research labs.
• Strong record of research impact through platforms, systems, or enterprise adoption.
• Expertise with GPU-accelerated ML workloads and HPC techniques.
• Proficient in transformer/attention models and graph/seq modelling.
• Excellent Python and Spark programming; knowledge of C/C++/Java a plus.
• Experience with hybrid-cloud AI/ ML infra (Google Cloud, Vertex AI, BigQuery).
• Strong leadership, communication, and cross-functional collaboration.

Responsabilités

• Lead AI research and integrate results into business areas like credit, fraud, and marketing.
• Develop Tabular and Sequence-based foundational models for enterprise use cases.
• Translate research into scalable, governed AI platforms and tools.
• Collaborate with business, tech, and infra teams to ensure secure, cost-effective solutions.
• Present findings to senior leadership and shape enterprise strategy.
• Foster a high-performing, innovative team culture within AI Labs.

Connaissances

GPU-ML

ML modeling

Python

Spark

C/C++ and Java

Hybrid-cloud infra

SQL/NoSQL

Communication

Formation

Advanced degree in CS/Stats/OR/Eng/Math/Physics or related field

Outils

Vertex AI

BigQuery

Dataproc

TensorFlow/PyTorch

Description du poste

Job Description

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.

Job Description

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.

Responsibilities

• 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 capabilities that are adopted at scale across the enterprise
• 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.

Qualifications

• 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 C/C++ and Java is preferred
• 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 attention to detail
• Effective communication skills and ability to explain complex data products in simple terms
• Strong relationship building and collaborative skills.

About Us

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 Team

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 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

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.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.