Senior AI Engineer I - CETS Data Engineering

Position Overview

At American Express, our culture is built on a 175-year history of innovation, shared values, and Leadership Behaviors. As part of Team Amex, you’ll experience comprehensive support for your holistic well-being, opportunities to learn new skills, develop as a leader, and grow your career. Your voice and ideas matter, and your work makes an impact as you help define the future of American Express.

Key Responsibilities

• Mentors junior AI Engineers and cross-functional teams, fostering a culture of excellence and innovation.
• Integrates AI models into production systems in collaboration with cross-functional teams.
• Maintains strict adherence to model governance, security, and compliance standards.
• Provides guidance and support to junior engineers, fostering their professional growth.
• Designs and implements AI/machine learning frameworks for data processing, focusing on prompt engineering and generative AI technologies.
• Collaborates with engineers to deliver scalable AI solutions that meet both technical and business requirements.
• Translates business requirements into AI-driven technical solutions by converting needs into actionable models and algorithms.
• Develops reusable Big Data pipelines and AI-based systems for efficient data processing and model deployment.
• Experiments with and deploys new natural language processing models to classify and analyze business-related text data.
• Creates end-to-end machine learning operations pipelines for scalable model deployment.
• Collaborates with product and business teams to align technology initiatives with organizational objectives.

Required Qualifications

• Bachelor’s degree in Computer Science, Machine Learning, Data Science, or equivalent experience; advanced degree preferred.
• Proficiency in Python and data processing technologies such as Big Data (Hadoop, Spark).
• Knowledge of natural language processing techniques including fuzzy matching and models such as BERT and Transformer models.
• 3-5 years of experience in software development with a focus on machine learning, generative AI, Big Data, and prompt engineering.
• Experience working with large language models (LLMs), especially GPT-3.5/4 or similar AI models.
• Experience with programming languages such as Python, R, Java, or C++.
• Experience in building and deploying AI models and pipelines using MLOps tools (including Classical ML, Generative AI, Prompt Engineering, LangChain, and NLU/NLP).
• Familiarity with machine learning algorithms and applying them to real-world problems.
• Experience with continuous integration/continuous deployment pipelines and containerized deployments.
• Experience in building and maintaining data pipelines along with extract, transform, and load processes.

Preferred Qualifications

• Experience taking models through AI/ML governance in a highly regulated industry.

Benefits & Perks

• Compensation: $123,000.00 to $215,250.00 annually + bonus + benefits.
• Competitive base salaries and bonus incentives.
• 6% Company Match on retirement savings plan.
• Comprehensive medical, dental, vision, life insurance, and disability benefits.
• Free financial coaching and financial well-being support.
• Flexible working model with hybrid, onsite, or virtual arrangements.
• 20+ weeks of paid parental leave for all parents, regardless of gender.
• Free access to on-site wellness centers (where available) and confidential counseling support through the Healthy Minds program.
• Career development and training opportunities.