Experience:

• 5+ years of software engineering experience
• Meaningful production experience with LLMs or applied ML systems
• Track record of shipping AI-powered or agentic systems used by real users
• Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure
• Hands-on experience with modern LLM tooling and agentic patterns and architectures
• Fluency with AI-assisted and agentic development workflows
• Strong sense of ownership and sound technical judgment
• Comfort operating with ambiguity and turning it into shipped reliable product
• Strong product mindset and customer orientation

Qualification:

• 9+ experience building agentic systems in fintech or other regulated industries

Responsibilities:

• Design, build, and ship LLM-powered and agentic product features
• Build agentic AI systems that reason over context, invoke tools, take real actions, and recover from failure
• Architect and implement production-grade RAG pipelines over sensitive financial data with correctness, auditability, and safety requirements
• Contribute to shared AI infrastructure that scales agentic development across Amex Technology
• Own production systems including reliability, latency, cost, and failure modes
• Work closely with product and design partners
• Think in terms of customer outcomes, not just technical execution

Additional responsibilities:

• Support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally
• Provide 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues
• Provide product management for core enterprise platforms
• Lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company
• Meet high standards for reliability, security, and auditability in a financial services environment
• Maintain production-quality engineering standards while using AI-assisted and agentic development tools

Nice to have:

• Experience as a founding engineer or early technical contributor in high-growth environments
• Demonstrated ability to ship technically complex systems in regulated contexts that customers actively rely on
• Meaningful open-source contributions, particularly in AI or developer tooling

More skills:

commercial LLMs, open-source LLMs, LLM services, agent orchestration frameworks, schema management, validation, state management, AI-assisted development, distributed systems, backend systems, data pipelines, cloud infrastructure

Other:

• Enterprise Technology Services partners with every part of the business to power growth and innovation with trust and efficiency
• The team operates in an enterprise-scale environment with a strong emphasis on agentic AI
• Culture built on a 175-year history of innovation, shared values, and Leadership Behaviors
• Strong risk mindset focused on trust, security, and service
• Comprehensive support for holistic well-being
• Opportunities to learn new skills, develop as a leader, and grow your career
• Competitive base salaries
• Bonus incentives
• Support for financial well-being and retirement
• Medical, dental, vision, life insurance, and disability benefits depending on location
• Flexible working model with hybrid, onsite, or virtual arrangements depending on role and business need
• 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
• Equal opportunity employer
• Offer of employment is conditioned upon successful completion of a background verification check subject to applicable laws and regulations