AI Engineer II

As part of our AI/ML Platform Engineering Tech team, you can architect, code and ship platform capabilities that power essential journeys that are part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex. 

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.

• 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.
• 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.
• Enable business capabilities through innovation.
• 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

• 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.

  
  

Good To Have:

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