AE

Senior AI Engineer (GenAI/ LLMs/ Agentic)

American Express

Phoenix, UShybrid$123k-$215k/yrPosted Jul 22, 2026
Posting intelligenceActively listed

Skills

classificationcloudflareclusteringlangchainexpresspythonaws

About the role

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.

The Technology organization enables and accelerates the company’s growth strategies, delivering global capabilities and services in support of Amex’s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.

At American Express, our mission is to deliver the world’s best customer experience every day. At the heart of this mission is our Information Security organization, enabling exceptional experiences built on a foundation of trust, service, and security. We leverage advanced technologies and data-driven insights to stay ahead of an evolving threat landscape. We foster a culture of passion, curiosity, and courage - empowering you to innovate, grow, and help shape the future of a Fortune 100 company.

Trust. Service. Security.

We are seeking a highly skilled Senior AI Engineer to design, develop, and deploy advanced AI agents that leverage large scale telemetry, security, application, and network data sources. The ideal candidate will build intelligent agentic systems capable of autonomous reasoning, anomaly detection, threat identification and operational decision support across digital channels.

This role requires expertise in Generative AI, Agentic AI frameworks, distributed data processing, and cybersecurity analytics. The engineer will work with diverse datasets including application logs, Layer 3 and Layer 4 network traffic, Web Application Firewall (WAF) events, bot detection signals, and other fraud/security data sources.

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field.

7+ years of software engineering or AI development experience.

3+ years of experience with GenAI, LLMs, and agentic workflows

Strong programming skills in Python, NoSQL, REST API.

Experience building AI agents using frameworks such as LangGraph, LangChain or equivalent.

Experience with Model Context Protocol (MCP) for tool integration and A2A for agent-to-agent collaboration

Strong understanding of anomaly detection, classification and clustering.

Experience working with large scale log, telemetry, network, or security datasets.

Preferred Qualifications :

Experience working with WAF platforms, bot management systems (Cloudflare or AWS Shield or Google cloud Armor), SIEM technologies, or security analytics tools.

Experience leading technical teams and delivering enterprise-scale AI platforms.

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 .

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.

Compensation

This Machine Learning Engineer role pays $123k-$215k/yr. Within typical range for machine learning engineer roles in United States.

Questions about this role

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Compensation for Machine Learning Engineer roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Machine Learning Engineer hub for United States medians across recent openings.

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