Sr AI Engineer II - Enterprise Architecture
American Express
1 day ago
Full-time
On-site
At American Express, AI is reshaping the future of commerce and redefining the
experiences our commercial customers and card members expect. Within Amex
Technology, we are building platforms, products, and governance that enable
agentic AI systems to operate responsibly and at scale across the enterprise.
Our focus is on agentic AI development: designing intelligent, adaptive systems
that can plan, reason, and act across complex workflows with appropriate levels
of autonomy. These systems power autonomous workflows, decision support, and
customer-facing experiences—while meeting the high standards for security,
explainability, reliability, and compliance required in financial services.
We partner closely with product, design, and business teams to deliver agentic
capabilities that reduce operational friction, improve decision-making, and
transform how customers interact, transact, and grow.
The Role
As a Senior AI Engineer – Agentic AI, you will be a core builder responsible for
turning complex, ambiguous problems into production-grade agentic systems that
operate on real financial data, serve real customers, and meet real regulatory
requirements.
You will work end to end: shaping solutions with product and design, building
and shipping production code, and owning what you deliver after launch. The
scope of this role spans customer-facing LLM-powered features, agentic systems
that automate financial workflows, and internal AI capabilities that enable
other engineers to build with AI safely and efficiently.
This is not a research-only role. We are looking for engineers who are
comfortable operating with autonomy, exercising sound judgment, and pushing the
technical envelope within the realities of a regulated financial environment.
RESPONSIBILITIES
What You’ll Do
* 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, with strict requirements for correctness, auditability, and
safety.
* Contribute to shared AI infrastructure, including LLM services, agent
orchestration frameworks, and evaluation and monitoring tooling, that scales
agentic development across Amex Technology.
* Own the systems you build in production, including reliability, latency,
cost, and failure modes.
* Work closely with product and design partners; engineers in this role are
expected to think in terms of customer outcomes, not just technical
execution.
Technical Environment
* We don’t hire to a narrow checklist, but candidates should be comfortable
operating in a modern, enterprise-scale environment with a strong emphasis on
agentic AI.
Core engineering stack
* Languages: Python, Go, TypeScript
* Cloud and infrastructure: AWS and/or GCP, Kubernetes
* APIs and services: REST, gRPC
* Distributed systems: event-driven architectures, including Kafka
Agentic AI and ML
* Commercial and open-source LLMs integrated into agentic workflows
* Tooling for agent orchestration, retrieval-augmented generation, vector
storage, and evaluation
* Strong schema, validation, and state management practices
AI-assisted development
* Fluency with AI-assisted and agentic development workflows for design,
implementation, testing, debugging, and refactoring
* Thoughtful use of these tools while maintaining production-quality
engineering standards
* All systems are built to meet high standards for reliability, security, and
auditability, reflecting the responsibility of deploying autonomous AI in a
financial services environment.
QUALIFICATIONS
What We’re Looking For
* 5+ years of software engineering experience, including meaningful production
experience with LLMs or applied ML systems.
* A 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 shipped reliable
product.
* A strong product mindset and customer orientation.
Preferred Qualifications
* 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.
Depending on factors such as business unit requirements, the nature of the
position, cost and applicable laws, American Express may provide visa
sponsorship for certain positions.
experiences our commercial customers and card members expect. Within Amex
Technology, we are building platforms, products, and governance that enable
agentic AI systems to operate responsibly and at scale across the enterprise.
Our focus is on agentic AI development: designing intelligent, adaptive systems
that can plan, reason, and act across complex workflows with appropriate levels
of autonomy. These systems power autonomous workflows, decision support, and
customer-facing experiences—while meeting the high standards for security,
explainability, reliability, and compliance required in financial services.
We partner closely with product, design, and business teams to deliver agentic
capabilities that reduce operational friction, improve decision-making, and
transform how customers interact, transact, and grow.
The Role
As a Senior AI Engineer – Agentic AI, you will be a core builder responsible for
turning complex, ambiguous problems into production-grade agentic systems that
operate on real financial data, serve real customers, and meet real regulatory
requirements.
You will work end to end: shaping solutions with product and design, building
and shipping production code, and owning what you deliver after launch. The
scope of this role spans customer-facing LLM-powered features, agentic systems
that automate financial workflows, and internal AI capabilities that enable
other engineers to build with AI safely and efficiently.
This is not a research-only role. We are looking for engineers who are
comfortable operating with autonomy, exercising sound judgment, and pushing the
technical envelope within the realities of a regulated financial environment.
RESPONSIBILITIES
What You’ll Do
* 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, with strict requirements for correctness, auditability, and
safety.
* Contribute to shared AI infrastructure, including LLM services, agent
orchestration frameworks, and evaluation and monitoring tooling, that scales
agentic development across Amex Technology.
* Own the systems you build in production, including reliability, latency,
cost, and failure modes.
* Work closely with product and design partners; engineers in this role are
expected to think in terms of customer outcomes, not just technical
execution.
Technical Environment
* We don’t hire to a narrow checklist, but candidates should be comfortable
operating in a modern, enterprise-scale environment with a strong emphasis on
agentic AI.
Core engineering stack
* Languages: Python, Go, TypeScript
* Cloud and infrastructure: AWS and/or GCP, Kubernetes
* APIs and services: REST, gRPC
* Distributed systems: event-driven architectures, including Kafka
Agentic AI and ML
* Commercial and open-source LLMs integrated into agentic workflows
* Tooling for agent orchestration, retrieval-augmented generation, vector
storage, and evaluation
* Strong schema, validation, and state management practices
AI-assisted development
* Fluency with AI-assisted and agentic development workflows for design,
implementation, testing, debugging, and refactoring
* Thoughtful use of these tools while maintaining production-quality
engineering standards
* All systems are built to meet high standards for reliability, security, and
auditability, reflecting the responsibility of deploying autonomous AI in a
financial services environment.
QUALIFICATIONS
What We’re Looking For
* 5+ years of software engineering experience, including meaningful production
experience with LLMs or applied ML systems.
* A 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 shipped reliable
product.
* A strong product mindset and customer orientation.
Preferred Qualifications
* 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.
Depending on factors such as business unit requirements, the nature of the
position, cost and applicable laws, American Express may provide visa
sponsorship for certain positions.