AI Engineer-Machine Learning Platform

The Enterprise Data and AI organization unites the data governance, strategy, engineering, and product teams with those responsible for AI engineering, generative AI enablement, and automation product and engineering. This group plays a pivotal role in leveraging data as a core driver of innovation and integrating AI capabilities to transform products, operations, and customer experiences. The EDAI organization also incorporates technology Research & Development and experimentation with emerging capabilities, along with engineering support for Amex Digital Labs. This integration ensures that research breakthroughs seamlessly translate into business impact.

Unified Data Intelligence Technology builds and enables a trusted, scalable, and accessible enterprise data foundation that powers analytics and AI/ML across the organization. It delivers a centralized, cost-efficient unified data platform with elastic performance, standardized batch and streaming ingestion, and optimized compute, while embedding strong governance through enterprise metadata, data quality monitoring, role-based security, and regulatory compliance. The technology empowers teams with self-service analytics, reusable and well-governed data products, and end-to-end ML enablement, all enhanced by an intelligence layer that leverages metadata, semantic services, knowledge graphs, and AI-driven capabilities to improve data discovery, understanding, and decision-making at scale.

Responsibilities

• Lead the Discovery, Development and Maintenance of scalable AI driven capabilities in the area of Document AI, Computer Vision, NLP, Chatbots (Conversational AI)

• Research and Deploy AI and Gen AI solutions to power enterprise business needs

• Partner with Research teams to take AI enabled initiatives from conceptualization to production

• Create data pipelines that feed machine learning models through out the model lifecycle including training, inference ,HITL and re-training ., 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.

• BS or MS degree in computer science, computer engineering, or other technical discipline.

• Strong proficiency in Python language, machine learning libraries and SQL

• Core competencies in distributed technologies including Python frameworks, API Design, Linux, JSON, Postgres, NoSQL databases etc.

• Demonstrated experience in building and deploying a diverse set of ML models including vision and NLP based models at scale

• Experience in designing and implementing highly scalable, low latency Python applications.

• Familiarity with CI/CD pipelines and DevOps tools (Jenkins, GitLab).

• Proficiency with Containers (Docker) and orchestration (Airflow, Kubernetes)

• Practical knowledge of caching and distributed systems.

• Team player and a hands-on engineer.

• Ability to think abstractly and deal with ambiguous/under-defined problems.

• Have excellent written and verbal communications skills.

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

Preferred Qualifications :

• 2-3 years of software development experience

• Hands-on experience in GCP/AWS/Azure cloud is a preferred

• Experience in deploying Gen AI use cases using Foundational LLMs and RAG pipelines

• Experience in Financial Services industry is a plus

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