Agentic AI Engineer, Core Platforms — Production ML

American Express; New York (NY); Hybrid; USD 89,000 - 150,000; Full time

Benefits offered by this job

Bonus incentives

6% retirement match

Comprehensive benefits

Hybrid or onsite options

Job summary

American Express is hiring an Agentic AI Engineer for Core Platforms in New York, NY. Hybrid role focusing on operationalizing ML/AI models, deploying into GPU-enabled environments, and integrating with production systems.

The role requires hands-on ML/AI experience, strong Python skills, and proficiency with MLOps/LLMOps, containers, Kubernetes, and CI/CD. Collaboration with product and technology teams is essential.

Qualifications

• Bachelor's degree in CS, ML, Data Science or equivalent experience.
• 2+ years of software development with ML/AI
• Experience with Python and data processing
• Familiarity with MLOps or LLMOps
• Experience with large language models (GPT-3.5/4)
• CI/CD, containers, and Kubernetes basics

Responsibilities

• Implement, deploy, and support AI/ML models in GPU-enabled environments.
• Package and operationalize trained models for production use.
• Support scalable data and deployment pipelines.
• Integrate models with production systems to deliver AI capabilities.
• Maintain monitoring, validation, versioning, and rollback processes.
• Work within security controls and AI governance standards.
• Collaborate with product and technology partners to productionize AI solutions.

Skills

Agentic AI

ML/AI development

Python

LLM knowledge

CI/CD

Education

Bachelor's degree in CS/ML/Data Science

Advanced degree preferred

Tools

Kubernetes

Containers

Job description

American Express is hiring an Agentic AI Engineer for Core Platforms in New York, NY. Hybrid role focusing on operationalizing ML/AI models, deploying into GPU-enabled environments, and integrating with production systems.

The role requires hands-on ML/AI experience, strong Python skills, and proficiency with MLOps/LLMOps, containers, Kubernetes, and CI/CD. Collaboration with product and technology teams is essential.