AI Engineer II

Overview

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:

• 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 throughout the model lifecycle including training, inference, HITL and re-training.
  

• Closely follow research and open-source developments/publications and apply them.
  

• Drive high-level and detailed technical design conversations and reviews
  

• Function as an active member of an agile team
  

Qualifications:  

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

• 2-3 years of software development experience
  

• 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.
  

Preferred Qualifications:

• 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 the Financial Services industry is a plus