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American Express VP Engineering, Intelligence Platform Engineering in Denver, Colorado


If you have a strong will to learn and educate, as well as are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to combine A.I./Machine Learning and Engineering skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide . There are hundreds of opportunities to make your mark on technology and life at American Express.

American Express is embarking on an exciting transformation on building the next generation customer first ecosystem for democratizing A.I./Machine Learning in Amex on the Cloud. You will be leading an energetic A.I./Machine Learning Engineering team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Travel & Lifestyle, Marketing, etc.) to drive strategic planning and a cohesive set of technology solutions enabling A.I. Human-driven decisioning. This position provides an opportunity to solve very interesting problems, you will have significant leadership and influence on the evolution of our A.I./Machine Learning products.

This role within American Express Technology (AET) CTO Organization, will report into the VP of Engineering overseeing Enterprise Data Architecture, Enterprise Machine Learning Platform, Enterprise Real-Time Event Processing and Analytics Platform, as well as Chairing the Technology Risk Model Committee.


  • Drive A.I./Machine Learning Engineering vision, strategy, and execution across Amex

  • Lead the Enterprise Machine Learning Platform, to provide a unified E2E self-serve ML Platform and A.I. Services for 4000 users with model development, evaluation, deployment, and governance capabilities to minimize risk exposure, reduce time to market and enable an optimized DX experience.

  • Lead a highly technical Engineering team and play a visible role in implementing cutting-edge technology and A.I./Machine Learning solutions with other industry-leading partners

  • Combine A.I./Machine Learning and Engineering skills to implement highly scalable platform components and tools to solve real-world problems in areas such as Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions

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

  • Help craft the direction of machine learning and artificial intelligence at AmEx


  • Master’s degree in Computer Science, Computer Engineering, EE, EEE, Statistics, Math, Industrial Engineering, Operational Research, Physics, Financial Engineering, or related STEM fields. Ph.D. degree preferred.

  • 10 years full lifecycle product development and engineering leadership in highly available, highly scalable, high throughput systems

  • Experience building and delivering sophisticated platforms that leverage various machine learning algorithms or technologies and are able to scale optimally.

  • Good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms (e.g. PostgreSQL, Redshift, BigQuery, Snowflake, DynamoDB, Neo4J, MongoDB, Cassandra, HBase, etc.).

  • Expert in one of the following fields:

  • Machine Learning

  • Deep Learning

  • Reinforcement Learning

  • Natural Language Processing

  • Optimization

  • Probabilistic Inference

  • Information Retrieval

  • Recommendation Systems

  • Bayesian Inference

  • Advanced time series forecasting

  • Hands-on Experience with most of the following open-source solutions:

  • Orchestrate: Airflow, Kubeflow Pipelines, ML Run

  • Container: Docker, Kubernetes, Mesos Marathon

  • Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow

  • Observability: Prometheus, Grafana, Elasticsearch

  • Development:

  • Programming Language: Python, Java, Scala, Julia

  • IDE: Notebooks, PyCharm, VS Studio

  • Machine Learning: TensorFlow, Keras, ScikitLearn,, XGBoost, MXNet

  • Feature Store: Hopsworks, Feast, or other purposed built Feature Store

  • Model Format: ONNX, PMML

  • Governance:

  • Model Repository: MLflow Registry, ModelDB

  • Code Repository: GitHub

  • Model Tracking: MLflow Tracking, TensorBoard, MLRun

  • Explainable AI: LIME, SHAP, Google What-If

  • Fairness: TensorFlow Fairness Indicators, FairLearn

  • Hands-on Experience with following message queuing, stream processing, and highly scalable ‘big data’ tools and technologies is a plus:

  • Amazon Kinesis / GCP PubSub

  • Apache Flink

  • Apache Kafka

  • Apache Kylin

  • Apache NiFi

  • Apache Samza

  • Apache Spark

  • Apache Storm

  • Hadoop

  • Hive

  • Zeppelin/ Jupyter

  • Proven track record on producing outstanding research results (Journal and/or Conference publications) is a plus.

  • Strong team leadership and talent development mindset

  • Excellent verbal and written communications skills.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.

Job: Technology

Primary Location: United States

Other Locations: US-Florida-Sunrise, US-Arizona-Phoenix, US-New York-New York

Schedule Full-time

Req ID: 21002271