Staff AI Engineering – Enterprise AI Platforms

American Express

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

Posted 10/14/2026full-timeUnited StatesLead💰 $144,250 - $256,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in building large-scale distributed systems and agentic AI initiatives, with a strong focus on LLM systems, cloud infrastructure, and complex system design. Capable of influencing technical direction and mentoring teams while delivering reliable autonomous systems.

Highest-signal resume keywords

Agentic AI System DesignLarge-Scale Distributed SystemsLLM InfrastructurePython, Java, Go, TypeScriptAWS and/or GCP

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Large-Scale Distributed SystemsLLM SystemsBackend SystemsAPIsData PipelinesCloud InfrastructureEvent-Driven ArchitecturesModel OptimizationSchema ValidationAutonomous Systems

Soft Skills

Technical Direction InfluenceMentoringCollaborationProblem-SolvingCommunication

Tools & Technologies

KubernetesKafkaLangGraphLangChainAirFlowLlamaIndexSemantic KernelCrewAIPyTorchHugging Face

Industry Keywords

Agentic WorkflowsAI-Assisted DevelopmentFintechRegulated IndustriesOpen-Source AI Contributions

Tech Stack

Tools & technologies

AirflowAWSCloudDistributed SystemsGoogle Cloud PlatformGRPCJavaKafkaKubernetesPythonPyTorchTensorflowTypeScriptGo

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, orchestration layers, planning, tool use, memory strategies, retrieval and grounding pipelines, LLM infrastructure, inference, model gateways, evaluation, observability, and safety tooling
Lead technical design reviews and guide teams through 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 through example and influence
Collaborate with Product and UX partners to shape the vision for agentic AI experiences
Write production code, review critical designs, and guide complex technical decisions
Operate as a senior individual contributor without people management responsibility in the core role

Requirements

What you’ll need

12+ years of experience building large-scale distributed systems with strong experience with LLM systems, agentic workflows or advanced ML infrastructure
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 with Python, Java, Go, and TypeScript
Experience with REST, gRPC, and optionally tRPC
Experience with AWS and/or GCP and Kubernetes
Experience with event-driven architectures, including Kafka
Experience with LangGraph, LangChain, AirFlow, LlamaIndex, Semantic Kernel, or CrewAI
Experience integrating commercial and open-source LLMs into agentic workflows
Experience with PyTorch and the Hugging Face ecosystem; some exposure to TensorFlow
Experience with Pydantic and Zod for schema, validation, and state management
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 customers rely on
Preferred: meaningful contributions to open-source AI or agentic frameworks
Familiarity with fine-tuning, model optimization, and inference pipelines is a plus
Visa sponsorship may be provided for certain positions depending on requirements and applicable laws

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)