Senior AI Engineer (GenAI/ LLMs/ Agentic)

Posted 10 Days Ago
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Phoenix, AZ, USA
Hybrid
Senior level
Fintech • Financial Services
The Role
Design, build, and deploy agentic AI systems and multi-agent workflows to detect anomalies, fraud, bot attacks, API abuse and network threats using large-scale telemetry, RAG, knowledge graphs, model monitoring, and security integrations. Provide technical leadership, mentor junior engineers, and define standards for AI agent development.
Summary Generated by Built In

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.
Responsibilities
  • Design, build, and deploy AI agents for identifying malicious activity, bot attacks, account takeover attempts, fraud patterns, API abuse, and network anomalies. Analyze large scale datasets from application logs, Layer 3 and Layer 4 network traffic, WAF logs and security events, Bot management and bot detection platforms, Threat intelligence feeds and external data sources
  • Create agents capable of correlating events across multiple telemetry sources, monitoring signals, triggering playbooks and learn from feedback.
  • Develop multi-agent systems capable of reasoning, planning, retrieval, tool usage, and workflow orchestration.
  • Implement Retrieval-Augmented Generation (RAG), agent memory, and knowledge graph integrations to improve agent effectiveness.
  • Create AI-powered copilots and investigative assistants for security analysts
  • Implement model monitoring, drift detection, and continuous improvement processes.
  • Mentor junior engineers and provide technical leadership on AI initiatives.
  • Define technical standards, best practices, and architectural patterns for AI agent development.
Qualifications
  • 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. 
About Us

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.

About the Team

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.

US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.


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.​

Skills Required

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
  • 7+ years of software engineering or AI development experience.
  • 3+ years of experience with Generative AI, LLMs, and agentic workflows.
  • Strong programming skills in Python.
  • Experience with NoSQL databases.
  • Experience building and consuming REST APIs.
  • Experience building AI agents using frameworks such as LangGraph, LangChain or equivalent.
  • Experience with Model Context Protocol (MCP) for tool integration and A2A (agent-to-agent) collaboration.
  • Strong understanding of anomaly detection, classification, and clustering techniques.
  • Experience working with large-scale log, telemetry, network, or security datasets (application logs, Layer 3/4 traffic, WAF logs, threat feeds).
  • Experience with WAF platforms, bot management systems (Cloudflare, AWS Shield, Google Cloud Armor) and SIEM/security analytics tools.
  • Experience leading technical teams and delivering enterprise-scale AI platforms.

American Express Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about American Express and has not been reviewed or approved by American Express.

  • Healthcare Strength Pay is often viewed as attractive when combined with comprehensive health, dental, and vision coverage that supports day-to-day needs. The benefits package is also framed as especially helpful for those supporting dependents.
  • Retirement Support Retirement benefits are positioned as a meaningful part of total rewards through a 401(k) plan with company matching. Financial wellness services and coaching are also highlighted as strengthening longer-term financial security.
  • Leave & Time Off Breadth Paid time off is repeatedly characterized as generous and a valued component of the overall package. Time off and flexibility are presented as helping the total rewards feel more complete beyond base salary.

American Express Insights

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The Company
HQ: New York, NY
100,703 Employees
Year Founded: 1850

What We Do

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.

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