Job Details

Description

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?

Responsibilities:

• Work with cross-functional teams, fostering a culture of technical excellence, collaboration, and innovation.

• Lead and collaborate within Agile teams to deliver chatbot-related data features, support business and product changes, and drive sprint prioritization.

• Stay current with emerging database technologies, big data platforms, and AI/ML capabilities—driving adoption of best practices across the organization.

• Convert logical chatbot data architectures into robust physical designs; develop and test database solutions supporting natural language processing and chatbot intent systems.

• Administer and optimize databases, data warehouses, and datamarts to ensure performance, scalability, and reliability.

• Diagnose and resolve chatbot data performance issues—ensuring optimal replication, high availability, and effective analytical strategies.

• Develop and enforce standards for chatbot data management, security, and governance, while contributing to tooling and methodology decisions.

• Enhance Big Data strategies by designing advanced indexing, partitioning, and query optimization solutions to support real-time chatbot decision making.

• Partner with product and business teams to align chatbot engineering solutions with enterprise objectives and customer experience goals.

Education & Knowledge:

• Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equal experience).

• Strong knowledge of Big Data / NoSQL design and development (document, column family, graph data stores).

• Deep understanding of database management systems : storage formats, replication, encryption, performance tuning, and high availability.

• Proficiency with distributed systems, algorithms, and both relational & non-relational databases .

• Familiarity with machine learning, AI , relational database systems, and open-source data technologies.

Experience:

• Proven experience in data engineering, chatbot systems, or related roles .

• Expertise in SQL and Python (Java or other programming languages a plus).

• Hands-on experience with database ecosystems such as HBase, Hive, GCP tools, NoSQL (MongoDB, Cassandra, Redis, Couchbase), BigQuery, Spanner, PostgreSQL, Oracle, or DB2 .

• Background in chatbot-specific data pipelines, conversational AI metrics (e.g., RAG response rate, temperature impact), and NLP model integration is highly desirable.

• Strong experience in performance tuning for Big Data and AI workloads .

• Knowledge of Agile, Scrum, XP, or other modern software delivery methodologies .

• Infrastructure design expertise (e.g., storage integration, cloud data services).

• Experience with ServiceNow data.

Qualifications

Salary Range: $110,000.00 to $190,000.00 annually bonus 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.

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

Job: Technologies

Primary Location: US-New York-New York

Other Locations: US-Arizona-Phoenix

Schedule Full-time

Req ID: 25016131