The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.
We are seeking a highly skilled and detail-oriented Quality Engineer with strong experience in MLOps platformswithin the FinTech domain. The ideal candidate will play a critical role in ensuring the quality, reliability, scalability, and operational excellence of machine learning platforms that support model development, automated retraining, and deployment across both Batch and Real-Time (RT) processing environments.
Responsibilities- Design, develop, and execute comprehensive quality engineering strategies for enterprise-scale MLOps platforms.
- Validate and certify end-to-end ML workflows including:
- Model building and training pipelines
- Automated retraining frameworks
- Model versioning and governance
- CI/CD deployment pipelines for ML models
- Batch and Real-Time inference systems
- Collaborate closely with Data Scientists, ML Engineers, Platform Engineering, and Product teams to ensure high-quality model lifecycle management.
- Develop automated testing frameworks for:
- Data validation and integrity checks
- Feature engineering pipelines
- Model performance and drift monitoring
- API and microservices validation
- Real-time streaming and batch processing validation
- Ensure platform compliance with enterprise standards related to security, scalability, resiliency, and regulatory requirements in the financial services domain.
- Support production release validation, rollback testing, observability, and operational readiness for ML deployments.
- Drive quality metrics, defect analysis, and continuous improvement initiatives across the MLOps ecosystem.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related discipline.
- Strong experience in Quality Engineering / QA Automation with exposure to MLOps platforms.
- Proven experience in the FinTech or Financial Services industry.
- Hands-on expertise with ML lifecycle tools and platforms such as:
- MLflow, Kubeflow, SageMaker, Databricks, Vertex AI, or similar
- Jenkins, GitHub Actions, ArgoCD, or CI/CD orchestration tools
- Docker, Kubernetes, OpenShift
- Experience validating both Batch and Real-Time/Streaming architectures using technologies such as Kafka, Spark Streaming, Flink, or similar.
- Strong programming/scripting skills in Python, Java, or similar languages.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with model monitoring, drift detection, explainability, and governance frameworks.
- Strong understanding of test automation, API testing, performance testing, and data quality validation.
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
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.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related discipline
- Strong experience in Quality Engineering / QA Automation
- Exposure to MLOps platforms
- Proven experience in the FinTech or Financial Services industry
- Hands-on expertise with ML lifecycle tools
- Experience with CI/CD orchestration tools
- Experience with Docker and Kubernetes
- Experience validating both Batch and Real-Time architectures
- Strong programming/scripting skills in Python or Java
- Experience with cloud platforms such as AWS, Azure, or GCP
- Familiarity with model monitoring and governance frameworks
- Strong understanding of test automation, API testing, performance testing, and data quality validation
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.
