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American Express

Staff AI Engineering – Enterprise Architecture

American Express

. Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design .

Posted 10/9/2026full-timeUnited StatesLead💰 $144,250 - $256,250 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and operating agentic AI systems, with a strong focus on architecture, autonomy, and system reliability. Proven ability to lead cross-functional teams and mentor engineers while delivering complex AI-driven solutions in production environments.

Highest-signal resume keywords
Agentic AI System DesignLLM Infrastructure DevelopmentPython ProgrammingCloud Infrastructure (AWS/GCP)Technical Leadership

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringBackend SystemsAPIsData PipelinesEvaluation and ObservabilityMemory StrategiesModel OptimizationFine-TuningEvent-Driven ArchitecturesStreaming Systems
Soft Skills
Influencing Technical DirectionMentoring EngineersNavigating Ambiguous Problem Spaces
Tools & Technologies
KubernetesKafkaLangChainLlamaIndexSemantic KernelCrewAIPyTorchHugging FaceTensorFlowREST/gRPC/tRPC
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
Agentic AILLM-Powered SystemsFintechRegulated IndustriesOpen-Source AI Contributions

Tech Stack

Tools & technologies
AWSCloudGoogle Cloud PlatformGRPCKafkaKubernetesPythonPyTorchTensorflowTypeScriptGo

About the role

Key responsibilities & impact
  • Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design
  • Design, build, and operate production-grade agentic AI systems used across multiple products
  • Own and evolve agent frameworks and orchestration layers
  • Develop planning, tool use, and memory strategies
  • Build retrieval and grounding (RAG) pipelines
  • Develop LLM infrastructure, inference, and model gateways
  • Build evaluation, observability, and safety tooling for autonomous systems
  • Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost
  • Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production
  • Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements
  • Mentor senior engineers and raise the technical bar for agentic AI development through example and influence
  • Use Python, Go, TypeScript, REST, gRPC, tRPC, AWS and/or GCP, Kubernetes, event-driven architectures, Kafka, commercial and open-source LLMs, LangChain, LlamaIndex, Semantic Kernel, CrewAI, PyTorch, Hugging Face, TensorFlow, Pydantic, and Zod

Requirements

What you’ll need
  • +10 years of software engineering experience, including deep, hands-on experience delivering agentic or LLM-powered systems to production
  • Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products
  • Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure
  • Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation
  • Fluency with AI-assisted and agentic development workflows
  • Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems
  • Ability to influence technical direction and align teams without formal authority
  • Experience in workflow engines, async processing, queues, and streaming systems
  • Experience building agentic systems in fintech or other regulated industries (preferred)
  • Experience as a founding engineer or early technical leader in AI-driven products (preferred)
  • Demonstrated success delivering technically complex autonomous systems that customers actively rely on (preferred)
  • Meaningful contributions to open-source AI or agentic frameworks (preferred)
  • Familiarity with fine-tuning, model optimization and inference pipelines (a plus)
  • Bachelor's Degree
  • 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.

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
  • Equity (if applicable)