Sr Agentic AI Engineer - Core Platforms

Job d:

Location:

New York, NY, United States;
Phoenix, AZ, United States;
Sunrise, FL, 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 Inference Engineer is responsible for independently designing, optimizing, and operating scalable production inference services that enable enterprise AI and machine learning solutions. This role partners with stakeholders to translate business and technical requirements into reliable model-serving capabilities, build efficient integration patterns and data pipelines, and ensure solutions meet established enterprise architecture standards for performance, reliability, observability, compliance, and production readiness.

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

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

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

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

Designs and operates scalable inference services, including performance, reliability, observability, and production readiness.

Evaluates serving approaches and optimizes latency, throughput, accelerator utilization, and cost for assigned workloads.

Partners across platform, infrastructure, security, evaluation, and application teams and mentors less-experienced engineers. Qualifications Education and Knowledge Bachelor's degree in Computer Science, Machine Learning, Data Science, and/or comparable experience; advanced degree preferred

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

Strong knowledge of production model serving, inference optimization, GPU fundamentals, Kubernetes, APIs,…