About the role
from listingThe Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues.
We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.
The Sr. AI Engineer II leads the development of advanced AI/machine learning frameworks and innovative natural language processing models, translating complex business needs into scalable models, optimizing Big Data pipelines, ensuring compliance, and foster growth of individuals on the team.
Supervises and mentors AI Engineers and cross-functional team of colleagues in specific tasks or projects, fostering their professional growth and ensuring adherence to best practices
Ensures seamless integration of AI models into production systems, collaborating closely with cross-functional teams to facilitate smooth integration and ensure alignment and functionality
Monitors and ensures compliance with model governance, security, and compliance standards, continuously monitoring models to ensure adherence to standards and proactively addressing issues
Provides guidance and support to junior AI engineers, fostering professional growth and development within the team
Drives the design and development of sophisticated AI/machine learning frameworks for large-scale data processing, focusing on prompt engineering and generative AI technologies
Directs innovative approaches to apply machine learning algorithms for prompt engineering and natural language processing, solving complex problems and improving model performance
Captures complex business requirements and translates them into sophisticated AI/machine learning-driven solutions, gathering and interpreting intricate business needs to develop advanced models and solutions
Enhances and automates critical business processes by building and optimizing advanced Big Data pipelines and AI-based systems
Leads implementation of new natural language processing models to classify and analyze complex business-related text data, ensuring accurate classification and insightful analysis
Establishes and sustains comprehensive machine leanring operations pipelines that support scalable deployment, monitoring, and maintenance of AI models
Leads design and evolution of complex, distributed AI systems, integrating multiple models, LLMs, and data services into cohesive platforms
Drives development of advanced AI capabilities including multi-stage retrieval pipelines, autonomous workflows, orchestration frameworks, and system-level evaluation
Establishes and enforces standards for AI reliability, safety, explainability, observability, and regulatory compliance across projects
Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives
Manages complex tasks, requiring an in-depth evaluation of variable factors of moderate to substantial complexity
Impacts multiple projects across multiple teams, influencing technical areas within the function
Makes critical decisions that directly impact project success and operational efficiency
Education and Knowledge
Bachelor's degree in Computer Science, Machine Learning, Data Science, and/or comparable experience; advanced degree preferred
Knowledge of Python and data processing technologies such as Big Data (Hadoop, Spark)
Knowledge of natural language processing techniques like fuzzy wuzzy and models such as BERT, Transformer models, and their real-world applications
Deep expertise in machine learning, including tradeoffs in model selection, evaluation, and optimization
Expert-level understanding of modern AI architectures, including LLM systems, agentic workflows, retrieval strategies, and scalable orchestration patterns
Work Experience
Experience in software development with a focus on machine learning, generative AI, Big Data, and prompt engineering
Experience in working with large language models (LLMs), especially GPT-3.5/4 or similar AI models
Experience in languages such as Python, R, Java, or C++
Experience in deploying AI models and pipelines using machine leanring operations tools
Experience in machine learning algorithms and experience applying them to real-world problems
Experience in continuous integration/continuous deployment pipelines and containerized deployments
Experience in building and maintaining data pipelines and extract, transform, and load processes
Extensive experience architecting and deploying large-scale AI systems in production environments
Experience leading development of distributed AI platforms, real-time inference systems, and cloud-native AI services
Advanced expertise in a technical domain, and moderate expertise across several different domains
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.