Sr AI Engineer II - Enterprise Architecture

American Express•New York, NY
•$123,000 - $215,250

About The Position

At American Express, AI is reshaping commerce and customer experiences. Within Amex Technology, teams are building platforms, products, and governance for agentic AI systems to operate responsibly and at scale. The focus is on intelligent, adaptive systems that can plan, reason, and act across complex workflows while meeting financial-services standards for security, explainability, reliability, and compliance. As a Senior AI Engineer, Agentic AI, you will turn complex and ambiguous problems into production-grade agentic systems that operate on financial data, serve customers, and satisfy regulatory requirements. You will work end to end, from shaping solutions with product and design partners to building and shipping production code and owning systems after launch. The role covers customer-facing LLM-powered features, agentic systems that automate financial workflows, and internal AI capabilities that help engineers build with AI safely and efficiently. This is a hands-on engineering role rather than a research-only position, requiring autonomy, sound judgment, and technical innovation within a regulated financial environment. The role operates in a modern enterprise-scale environment using Python, Go, and TypeScript; AWS and/or GCP; Kubernetes; REST and gRPC APIs; and event-driven distributed systems such as Kafka. The AI environment includes commercial and open-source LLMs, agent orchestration, retrieval-augmented generation, vector storage, evaluation, and strong schema, validation, and state-management practices. Engineers use AI-assisted and agentic workflows for design, implementation, testing, debugging, and refactoring while maintaining production-quality standards. Systems must meet high standards for reliability, security, and auditability. American Express describes its culture as grounded in innovation, shared values, leadership behaviors, and commitment to customers, communities, and colleagues. The company offers opportunities to learn, develop as a leader, and grow a career, along with benefits supporting physical, financial, and mental well-being. The position may be onsite, hybrid, or virtual depending on the role and business need. The expected salary range is referenced, but no numerical range is included in the posting.

Requirements

  • At least 5 years of software engineering experience, including meaningful production experience with LLMs or applied ML systems.
  • Track record of shipping AI-powered or agentic systems that real users depend on.
  • 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 reliable shipped products.
  • Strong product mindset and customer orientation.

Nice To Haves

  • Experience building agentic systems in fintech or other regulated industries.
  • 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.

Responsibilities

  • Design, build, and ship LLM-powered and agentic product features that change how customers manage their finances.
  • Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.
  • Architect and implement production-grade RAG pipelines over sensitive financial data, emphasizing correctness, auditability, and safety.
  • Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tools, to scale agentic development across Amex Technology.
  • Own production systems, including their reliability, latency, cost, and failure modes.
  • Work closely with product and design partners and focus on customer outcomes as well as technical execution.

Benefits

  • 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 of paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption, or surrogacy.
  • Free access to global onsite 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.
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