AI Engineer II - Python, Bigdata & Cloud

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?

As part of our technology organization, you’ll design, build, and enhance the platforms and systems that power American Express’s AI, data, and decisioning capabilities. You’ll work on initiatives that bring together modern engineering practices, large-scale data processing, and automation, helping to deliver reliable, secure, and high-impact solutions that drive real business outcomes.

You’ll collaborate with talented engineers, data scientists, and product teams to architect scalable systems, develop reusable frameworks, and improve platform efficiency. Whether optimizing data pipelines, building APIs, or improving infrastructure reliability, your work will directly shape how Amex leverages technology to serve customers and partners across the globe.

We offer an environment that encourages learning, innovation, and technical ownership — where your ideas are valued and you have the freedom to explore new tools and approaches. You’ll have access to modern technologies, opportunities to contribute to open-source initiatives, and dedicated time to invest in your professional development.

Responsibilities:

• Perform technical aspects of software development for assigned applications including design, developing prototypes, and coding assignments.
• Perform hands-on architecture, design, and development of systems.
• Drive consistent development practices with respect to tools, common components, and documentation.
• Spend 80% of time writing code and testing, and remainder of time collaborating with stakeholders through ongoing product/platform releases.
• Develop deep understanding of tie-ins with other Amex systems and platforms within the supported domains.
• Perform ongoing refactoring of code, utilize visualization and other techniques to fast-track concepts, and deliver continuous improvement.
• Identify opportunities to adopt innovative technologies.
• Provide continuous support for ongoing application availability.

• Work with product owners to prioritize features for ongoing sprints and managing a list of technical requirements based on industry trends, new technologies, known defects, and issues.



• Research and learn new and upcoming technologies, and apply them to develop working software.
• Debug software components and identify code defects for remediation.
• Deploy, support, and monitor software across test, integration, and production environments.
• Automatically scale applications based on demand projections.
• Influence team members with innovative changes and improvements by challenging status quo and demonstrating risk taking.

• Demonstrate increased self-reliance to achieve team goals.

  
  Minimum Qualifications

• 2+ years of software development experience with proven hands-on experience building data driven products

• Good in Computer Science fundamentals in object-oriented design, data structures, algorithm design, complexity analysis, problem solving and diagnosis



• Strong analytical and problem-solving skills
• Adept at any one of the programming language Java/Python and Open to learn new programming languages.
• Well conversant with Linux / Unix tools

• Critical Factors to Success (Outcome Driven)

  
  Technical/Platforms:

• Experience in large scale platform engineering

• Experience in application development and integration within one or more Cloud platforms such as Google Cloud Platform, Amazon Web Services, etc.

• Understanding of Machine Learning Ecosystem with hands on experience working on Airflow, Jupyterlab, Jupyterhub, MLFlow like frameworks.
• Experience with object-oriented design and coding with Python & related framework.
• Proficiency on Linux.
• Understanding and experience with UNIX / Shell scripting
• Proficiency on distributed systems concepts like load balancing, shards, distributed transactions.

• Understanding of data structures, algorithms & Design Patterns

  
  Good To Have:

• Experience building fast and scalable machine learning and analytical algorithms and executing all tasks from design to deployment and monitoring

• Experience in developing Web services, micro-services, and REST

• Experience working with distributed systems using Spark, Hive in Hadoop at significant scale in a production environment.

  
  Functional:

• Familiarity with design & coding across multiple platforms & languages
• Strong analytical & strategic thinking skills
• Ability to interpret technical /business objectives and challenges
• Porting/Software Configuration
• Agile Methodologies
• Software development/ testing
• Product Engineering Knowledge

• Platform engineering knowledge (e.g. Financial Tech/Ecommerce/ Aggregator platforms)

  
  Business Outcomes:

• Design and deliver innovative AIML / Big Data platform solutions across multiple business units

• Identify and adopt new technologies to enhance user experience and predict future challenges

  
  Leadership Outcomes:

• Put enterprise thinking first, connect the role's agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
• Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
• Demonstrate learning agility, make decisions quickly and with the highest level of integrity
• Lead with a digital mindset and deliver the world's best customer experiences every day.

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.