Senior Agentic AI Engineer - Core Platforms

Job d:

Location:

New York, NY, United States;
Sunrise, FL, United States;
Phoenix, AZ, United States Salary: $123000 - $215250 annually + bonus + benefits

Job Function:
Engineering & Architecture

Schedule:

Full time

Shift: Day Workplace:
Hybrid Career Area:
Technology Company:
American Express Description The  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 Evaluation Engineer designs, develops, and maintains evaluation frameworks for AI and machine learning solutions, including LLM, RAG, agentic, and multimodal applications. This role translates business, product, risk, and governance requirements into measurable success criteria; builds automated and human-in-the-loop evaluation pipelines; and partners with cross-functional teams to ensure AI systems meet enterprise standards for quality, safety, reliability, compliance, latency, and cost.

Responsibilities Mentors junior AI Engineers and cross-functional team of colleagues, fostering a culture of excellence and innovation

Integrates AI models into production systems in collaboration with cross-functional teams, ensuring effective integration into existing production systems

Maintains strict adherence to model governance, security, and compliance standards

Provides guidance and support to junior engineers, fostering professional growth and development within the team 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 by integrating models that meet both technical and business requirements

Translates business requirements into AI-driven technical solutions, ensuring that business needs are converted into actionable models and algorithms

Develops reusable Big Data pipelines and AI-based systems, ensuring efficiency and consistency in data processing and model deployment

Experiments with and deploys new natural language processing models to classify and analyze business-related text data, conducting research to improve text classification and analysis

Creates end-to-end machine learning operations pipelines for scalable model deployment, facilitating seamless deployment, monitoring, and maintenance of AI models

Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives

Designs and operates scalable production AI systems, integrating ML models, LLMs, and intelligent services across multiple components

Leads development of AI capabilities such as robust inference services, retrieval pipelines (e.g., RAG), orchestration layers, and evaluation frameworks

Ensures AI systems adhere to enterprise standards for reliability, safety, explainability, observability, and compliance, mentoring others on best practices

Defines evaluation strategies, success criteria, benchmarks, and scorecards for LLM, RAG, agentic, and multimodal AI solutions across quality, safety, reliability, latency, and cost.

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