Senior Staff AI Engineer – Global Infrastructure

American Express

. Serves as a senior technical authority for enterprise-scale AI systems with significant strategic and long-term business impact .

Posted 10/2/2026full-timeUnited StatesSenior💰 $144,250 - $256,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and engineering enterprise-scale AI systems, with a strong focus on Generative AI, model integration, and AI infrastructure. Proven ability to lead cross-functional initiatives, mentor engineers, and ensure compliance with AI governance and regulatory standards.

Highest-signal resume keywords

AI Infrastructure ExpertiseGenerative AI KnowledgeDeep Learning Systems ProficiencyCross-Functional LeadershipAI Governance Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningGenerative AIModel OptimizationDistributed SystemsCloud-Native ArchitectureKubernetesPythonAI/ML FrameworksGPU-Based Infrastructure

Soft Skills

MentoringTechnical LeadershipCross-Team CollaborationProblem SolvingInfluencing Without Authority

Tools & Technologies

PyTorchTensorFlowScikit-learnHugging FaceCI/CD PlatformsHarnessEvent-Driven DesignObservability ToolsWorkload SchedulingCapacity Optimization

Industry Keywords

AI GovernanceModel Risk ManagementRegulatory ComplianceFinancial ServicesSafety Standards

Tech Stack

Tools & technologies

CloudCyber SecurityDistributed SystemsKubernetesMicroservicesPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Serves as a senior technical authority for enterprise-scale AI systems with significant strategic and long-term business impact
Defines architecture and engineering patterns for agentic AI, retrieval/grounding, model integration, inference platforms, observability, evaluation, and safety
Leads resolution of complex and ambiguous technical challenges, balancing performance, cost, scalability, security, safety, and regulatory constraints
Shapes long-term AI engineering strategy across platforms, tools, and system design approaches
Guides multiple cross-team AI initiatives to ensure coherent architecture, integration, and alignment across domains
Leads technical and architectural reviews, setting standards for engineering excellence and consistent implementation
Partners with Product, Data Engineering, Cloud Infrastructure, Architecture, Risk, and Cybersecurity leaders to align AI solutions with enterprise priorities and governance requirements
Evaluates emerging AI technologies and translates them into scalable, enterprise-ready capabilities
Mentors Staff and Senior Engineers, raising organizational technical capability and developing future technical leaders

Requirements

What you’ll need

MS/PhD in Artificial Intelligence, Machine Learning, Computer Science, or related discipline preferred
Deep knowledge of machine learning and deep learning systems, including model architectures, training, evaluation, and optimization
Advanced knowledge of Generative AI and LLM ecosystems, including embeddings, fine-tuning, prompt design, retrieval-augmented generation, and inference at scale
Strong understanding of AI infrastructure, including GPU platforms, accelerated compute, workload scheduling, capacity optimization, model serving, and inference performance
Advanced understanding of agentic AI design, including planning, reasoning, tool use, memory, multi-agent coordination, and autonomy controls
Strong foundation in distributed systems, cloud-native architecture, Kubernetes, APIs, microservices, event-driven design, observability, and platform reliability
Knowledge of DevOps and CI/CD platforms such as Harness, including automated deployment, environment promotion, governance, and operational controls
Knowledge of enterprise AI governance, including model risk management, explainability, bias detection, safety, and regulatory compliance
12+ years of experience in AI/ML engineering, AI infrastructure, platform engineering, data engineering, or related fields
Track record of delivering complex production systems at scale
Experience architecting end-to-end AI/ML platforms across data pipelines, training, deployment, serving, monitoring, and inference optimization
Experience designing and operating GPU-based AI infrastructure, including accelerated compute platforms, workload scheduling, utilization optimization, capacity management, and performance tuning
Experience with cloud-native and Kubernetes-based platforms supporting training, batch workloads, inference, orchestration, observability, reliability, and cost efficiency
Hands-on experience with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, and related tooling
Deep experience with agentic AI systems, including planning, tool use, memory, evaluation, retrieval, embeddings, vector databases, and agent frameworks
Experience leading complex cross-functional technical initiatives and influencing architecture and engineering direction across teams without direct authority
Demonstrated ability to mentor and develop engineers at all levels, including Staff-level engineers
Experience working in regulated environments such as financial services, including AI governance, risk management, and compliance considerations

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