Agentic AI Engineer - Core Platforms

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 Implementation / ML Ops Engineer is responsible for implementing, deploying, and supporting AI/ML models within approved GPU-enabled environments. This role packages and operationalizes trained models, supports scalable data and deployment pipelines, integrates models with production systems, and helps maintain reliable monitoring, validation, versioning, and rollback processes. The engineer works within established enterprise patterns, security controls, and AI governance standards while collaborating with product, technology, and business partners to deliver production-ready AI capabilities.

Responsibilities

• Implements model monitoring and evaluation techniques to improve AI system performance over time
• Ensures AI solutions adhere to governance, security, and compliance requirements
• Provides support and troubleshooting for AI models and data processing pipelines in production
• Collaborates effectively with teams in product and the business to align technology initiatives with business objectives
• Performs standard tasks within established procedures and guidelines; works within established guidelines with some degree of independence for routine tasks
• Develops and integrates components of production AI systems, including ML models or LLM-based services, with moderate independence
• Applies enterprise standards for observability, safety, and compliance in implemented AI components
• Implements and supports model packaging, validation, versioning, deployment, monitoring, and rollback using approved templates and controls.
• Contributes to CI/CD, container, Kubernetes, registry, testing, and telemetry configurations for assigned workloads.
• Troubleshoots common implementation issues and escalates complex design, optimization, or production problems to senior engineers.

Qualifications

Education and Knowledge

• 2+ years software development, including hands-on experience in machine learning, AI technologies, and Agentic AI 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
• Working knowledge of machine learning techniques and model evaluation approaches
• Foundational working knowledge of MLOps or LLMOps, containers, Kubernetes fundamentals, CI/CD, artifact management, testing, and monitoring.
• Basic understanding of GPU resource needs, runtime dependencies, scheduling constraints, and enterprise security and change controls.

Work Experience

• Experience in working with large language models (LLMs), especially GPT-3.5/4 or similar AI models
• Experience in languages such as Python or R
• Experience in deploying AI models and pipelines using machine learning operations tools
• Experience in continuous integration/continuous deployment pipelines and containerized deployments
• Experience developing and deploying machine learning or LLM-enabled applications in production or near-production environments
• Practical experience with distributed systems concepts, APIs, and cloud-native infrastructure supporting AI workloads
• Moderate expertise in a specific technical domain
• Some practical experience contributing to software, infrastructure, container, data, or machine learning deployment and automation work.
• Exposure through project, internship, or practical work to containerized deployment, artifact repositories, automated testing, monitoring, versioning, or rollback.

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries
• Bonus incentives
• 6% Company Match on retirement savings plan
• Free financial coaching and financial well-being support
• Comprehensive medical, dental, vision, life insurance, and disability benefits
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

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.

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The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.​