Staff AI Engineer – Enterprise Architecture

American Express

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

Posted 9/21/2026full-timeUnited StatesLead💰 $144,250 - $256,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in designing and operating agentic AI systems, with a strong focus on LLM infrastructure, evaluation, and safety tooling. Proven ability to influence technical direction and mentor teams in delivering complex, reliable autonomous systems across multiple products.

Highest-signal resume keywords

Agentic AI System DesignLLM Infrastructure DevelopmentPython ProgrammingCloud Infrastructure (AWS/GCP)Technical Leadership and Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringBackend SystemsAPIsData PipelinesEvent-Driven ArchitecturesModel OptimizationFine-TuningEvaluation ToolingRAG PipelinesAgent Frameworks

Soft Skills

Influencing Technical DirectionCollaboration Across TeamsProblem-Solving in Ambiguous Spaces

Tools & Technologies

PythonGoTypeScriptRESTGRPCTRPCAWSGCPKubernetesKafka

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

Agentic AILLM IntegrationFintechRegulated 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 guide 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 enterprise-ready improvements
Mentor senior engineers and raise the technical bar for agentic AI development
Work with Product and UX partners to shape the vision for agentic AI experiences
Write production code, review critical designs, and guide teams through complex technical decisions

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
Bachelor's Degree
Preferred: 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
Familiarity with fine-tuning, model optimization and inference pipelines is a plus
Depending on business requirements and applicable laws, visa sponsorship may be provided for certain positions
Core engineering stack: Python, Go, TypeScript, REST, gRPC, tRPC, AWS and/or GCP, Kubernetes, event-driven architectures, Kafka
Agentic AI and ML: commercial and open-source LLM integration, LangChain, LlamaIndex, Semantic Kernel, CrewAI, PyTorch, Hugging Face, TensorFlow, Pydantic, and Zod

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