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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Agentic AI Engineer - Core Platforms - **Company:** American Express Company - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $123,000.0 - $215,250.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Automated Storage and Retrieval Systems, Automation of Tests, Big Data, C++ (Programming Language), Cloud Engineering, Continuous Delivery, Continuous Integration, Extract Transform Load (ETL), Distributed Systems, R (Programming Language), Apache Hadoop, Python (Programming Language), Machine Learning, Natural Language Processing, Performance Tuning, Software Engineering, Systems Architecture, Working Model 2D, AI Infrastructure, Data Processing, Evaluation Pipelines, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Agentic-AI, Containerization, Kubernetes, Information Technology, Low Latency, Transformer Architectures, Restful APIs, GPT, Data Pipelines - **Published:** October 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ee611649ef0f40c5 ## About the Role * 5+ years' Experience in software development, including hands on experience in machine learning, AI Technologies, and Agentic solutions * 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 * Advanced knowledge of machine learning techniques and performance optimization Strong understanding of AI system architectures including LLM ecosystems, retrieval systems, orchestration frameworks, and evaluation methodologies * 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 * Experience delivering end-to-end AI systems in production, including design and operational ownership * Experience with distributed systems design, scalable APIs, and cloud-native AI infrastructure, including monitoring and optimization * Advanced expertise in a technical domain and moderate expertise in a new, different technical domain * Experience building evaluation harnesses and automated test pipelines for LLM, RAG, or agentic applications using production-representative datasets. * Experience designing human-in-the-loop and model-based evaluation workflows, including calibration, error analysis, and validation of evaluation quality. Experience integrating evaluation results into CI/CD, release readiness, production monitoring, and governance evidence. * Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions. ## Description 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., We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the " Know Your Rights " poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.