ml engineer for agentic AI

American Express provides financial services and develops products, technology platforms, and customer experiences for commercial customers and card members. Its Enterprise Technology Services organization delivers and operates global technology, digital, data, infrastructure, security, and AI capabilities.

• Contribute to the design and implementation of LLM-powered and agentic product features;
• Build and extend agentic AI workflows that reason over context, call tools, and perform actions under guidance from senior engineers;
• Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety;
• Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring tooling;
• Participate in operating AI systems in production, including monitoring, debugging, and improving reliability and performance;
• Collaborate closely with product and design partners, learning to translate customer needs into technical solutions.

• Demonstrated experience within professional software engineering;
• Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems through professional or project-based work;
• Solid engineering fundamentals in at least one backend language: Python, Go, or TypeScript;
• Familiarity with APIs, basic cloud concepts, and modern development practices;
• Interest in agentic AI systems, autonomy, and AI-assisted development workflows;
• Willingness to learn, take feedback, and grow technical ownership over time;
• Comfort working in collaborative, cross-functional teams;
• Strong customer mindset and curiosity about real-world problem solving;
• Employment eligibility to work with American Express in the UK; the company will not pursue visa sponsorship for these positions;
• Nice to have: exposure to LLM tooling, prompt engineering, RAG, or agent frameworks; internship or early-career experience in fintech or other regulated environments; contributions to open-source projects, hackathons, or side projects related to AI or developer tooling.

• Bonus incentives;
• Support for financial well-being and retirement;
• Comprehensive medical, dental, vision, life insurance, and disability benefits, depending on location;
• Generous paid parental leave policies, depending on location;
• Free access to global on-site wellness centers staffed with nurses and doctors, depending on location;
• Free and confidential counseling support through the Healthy Minds program;
• Career development and training opportunities;
• Offer of employment is conditioned upon successful completion of a background verification check, subject to applicable laws and regulations.