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Senior AI Engineer – Enterprise Architecture
American Express. Design, build, and ship LLM-powered and agentic product features that change how customers manage their finances .
Posted 9/21/2026full-timePhoenix • Arizona • United StatesSenior💰 $123,000 - $215,250 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing LLM-powered systems and agentic AI solutions, with a strong focus on reliability, correctness, and customer outcomes. Proficient in modern software engineering practices, cloud infrastructure, and data management in regulated environments.
Highest-signal resume keywords
LLM DevelopmentAgentic AI SystemsCloud Infrastructure (AWS/GCP)Production-Grade RAG PipelinesSoftware Engineering (5+ Years)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonGoTypeScriptAPIsData PipelinesCloud InfrastructureLLM ToolingSchema ValidationState ManagementAgent Orchestration
Soft Skills
Strong Sense of OwnershipCustomer OrientationComfort with AmbiguityTechnical Judgment
Tools & Technologies
AWSGCPKubernetesRESTGRPCKafkaVector StorageEvaluation ToolingMonitoring Tooling
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
FintechRegulated IndustriesAI-Powered SystemsAgentic PatternsOpen-Source Contributions
Tech Stack
Tools & technologiesAWSCloudGoogle Cloud PlatformGRPCKafkaKubernetesPythonTypeScriptGo
About the role
Key responsibilities & impact- 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
- Own production systems, including reliability, latency, cost, and failure modes
- Work closely with product and design partners, focusing on customer outcomes
- Operate in a modern, enterprise-scale environment with a strong emphasis on agentic AI
- Use Python, Go, TypeScript, AWS and/or GCP, Kubernetes, REST, gRPC, Kafka, LLMs, agent orchestration, retrieval-augmented generation, vector storage, evaluation, schema validation, and state management
Requirements
What you’ll need- 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 shipped reliable product
- Strong product mindset and customer orientation
- Bachelor's Degree
- Preferred: experience building agentic systems in fintech or other regulated industries
- Preferred: experience as a founding engineer or early technical contributor in high-growth environments
- Preferred: demonstrated ability to ship technically complex systems in regulated contexts that customers actively rely on
- Preferred: meaningful open-source contributions, particularly in AI or developer tooling
Benefits
Comp & perks- 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