American Express
Agentic AI Engineer - Core Platforms
New York, NY +2 · Hybrid · Full-time · Posted Oct 14, 2026
- Location
- New York, NY
Phoenix, AZ
Sunrise, FL - Experience
- 2+ years of software development, including hands-on experience in machine learning, AI technologies, and Agentic AI solutions.
- Education
- Bachelor's degree in Computer Science, Machine Learning, Data Science, and/or comparable experience; advanced degree preferred.
- Visa sponsorship
- Employment eligibility to work with American Express in the United States is required; the company will not pursue visa sponsorship.
About the job
Implements, deploys, and supports AI/ML models and LLM-based services in approved GPU-enabled environments, following enterprise security, governance, and operational standards.
What you'll do
- Packages, validates, versions, deploys, monitors, and supports rollback for AI models and production pipelines.
- Contributes to CI/CD, container, Kubernetes, registry, testing, and telemetry configurations; troubleshoots production issues.
- Collaborates with product and business teams and ensures AI implementations meet governance, security, compliance, observability, and safety standards.
What they ask for
- 2+ years of software development, including hands-on experience in machine learning, AI technologies, and Agentic AI solutions.
- Knowledge of Python and data processing technologies; working knowledge of machine learning techniques and model evaluation.
- Foundational working knowledge of MLOps or LLMOps, containers, Kubernetes fundamentals, CI/CD, artifact management, testing, and monitoring.
- Employment eligibility to work with American Express in the United States; the company will not pursue visa sponsorship.
Nice to have
- Advanced degree preferred.
- Experience with LLMs, such as GPT-3.5/4 or similar AI models.
Pay
USD 89250 - 150250 annually (base salary)
Tools
Python, R, GPT-3.5/4, Kubernetes, CI/CD, GPU
AI focus
Operationalizes production AI/ML models and LLM-based services, including monitoring and evaluation, deployment pipelines, validation, versioning, and rollback.
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