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Senior Staff AI Engineering
American Express. Serve as a senior technical authority for enterprise-scale AI systems with significant strategic and long-term business impact .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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 and LLM KnowledgeDeep Learning Systems ProficiencyCross-Functional LeadershipAI Governance and Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningGenerative AIKubernetesPythonAI/ML FrameworksDistributed SystemsModel Risk ManagementInference OptimizationCloud-Native Architecture
Soft Skills
MentoringTechnical LeadershipProblem SolvingCollaborationInfluencing Without Authority
Tools & Technologies
PyTorchTensorFlowScikit-learnHugging FaceCI/CD PlatformsGPU PlatformsWorkload SchedulingEvent-Driven DesignObservability ToolsCapacity Management
Industry Keywords
AI GovernanceRegulatory ComplianceRisk ManagementFinancial ServicesEnterprise AI
Tech Stack
Tools & technologiesCloudCyber SecurityDistributed SystemsKubernetesMicroservicesPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Serve as a senior technical authority for enterprise-scale AI systems with significant strategic and long-term business impact
- Define architecture and engineering patterns for agentic AI, retrieval/grounding, model integration, inference platforms, observability, evaluation, and safety
- Lead resolution of complex and ambiguous technical challenges while balancing performance, cost, scalability, security, safety, and regulatory constraints
- Shape long-term AI engineering strategy across platforms, tools, and system design approaches
- Guide multiple cross-team AI initiatives to ensure coherent architecture, integration, and alignment across domains
- Lead technical and architectural reviews, setting standards for engineering excellence and consistent implementation
- Partner with Product, Data Engineering, Cloud Infrastructure, Architecture, Risk, and Cybersecurity leaders to align AI solutions with enterprise priorities and governance requirements
- Evaluate emerging AI technologies and translate them into scalable, enterprise-ready capabilities
- Mentor 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
- Proven 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
- Employment eligibility to work with American Express in the UK is required; the company will not pursue visa sponsorship
Benefits
Comp & perks- Competitive base salaries
- Bonus incentives
- Support for financial well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- 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