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American Express
American Express
B2BBank ishiMoliya
American Express bank ishi, moliya va B2B to‘lovlari sohalarida faoliyat yurituvchi global moliyaviy xizmatlar kompaniyasidir. Kompaniya faoliyati jismoniy shaxslar, biznes va korporativ mijozlar uchun kredit kartalari; to‘lov va savdogarlarga xizmat ko‘rsatish xizmatlari; jamg‘arma hisobvaraqlari, depozit sertifikatlari va shaxsiy kreditlar; shuningdek, mukofotlar, sayohat dasturlari, korporativ to‘lov yechimlari, moliyaviy ta’lim, xavfsizlik xizmatlari hamda karta egalari va savdogarlarni qo‘llab-quvvatlashni o‘z ichiga oladi.
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Kompaniyadagi ish o‘rinlari

Senior Staff AI Engineer - London Hybrid

Lead the architecture of secure, scalable agentic AI platforms at American Express in a senior staff engineering role. Set enterprise AI direction across infrastructure, governance, platform reliability, and engineering standards.

GBBuyuk BritaniyaGibridTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiSun’iy intellekt muhandisi
BulutKiberxavfsizlikKubernetesMikroservislarPythonPyTorchScikit-LearnTaqsimlangan tizimlarTensorFlow

Tavsif

  • Act as a senior technical authority for enterprise AI systems with major strategic and long-term business impact.
  • Establish architecture and engineering patterns for agentic AI, retrieval and grounding, model integration, inference platforms, observability, evaluation, and safety.
  • Resolve complex, ambiguous technical challenges while balancing performance, cost, scalability, security, safety, and regulatory constraints.
  • Define long-term AI engineering strategy across platforms, tools, and system design approaches.
  • Coordinate multiple cross-team AI initiatives to maintain architectural coherence, integration, and alignment across domains.
  • Lead technical and architectural reviews while setting standards for engineering excellence and consistent implementation.
  • Collaborate with Product, Data Engineering, Cloud Infrastructure, Architecture, Risk, and Cybersecurity leaders to align AI solutions with enterprise priorities and governance requirements.
  • Assess emerging AI technologies and turn them into scalable, enterprise-ready capabilities.
  • Mentor Staff and Senior Engineers to strengthen organizational capability and develop future technical leaders.

Talablar

  • A preferred MS or PhD in artificial intelligence, machine learning, computer science, or a related discipline.
  • Deep expertise in machine learning and deep learning systems, including model architecture, training, evaluation, and optimization.
  • Advanced knowledge of generative AI and LLM ecosystems, including embeddings, fine-tuning, prompt design, retrieval-augmented generation, and large-scale inference.
  • Strong understanding of AI infrastructure, including GPU platforms, accelerated computing, workload scheduling, capacity optimization, model serving, and inference performance.
  • Advanced knowledge 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.
  • At least 12 years of experience in AI/ML engineering, AI infrastructure, platform engineering, data engineering, or related fields.
  • A track record of delivering complex production systems at scale.
  • Proven ability to architect end-to-end AI/ML platforms spanning data pipelines, training, deployment, serving, monitoring, and inference optimization.
  • Experience designing and operating GPU-based AI infrastructure, including accelerated computing platforms, workload scheduling, utilization optimization, capacity management, and performance tuning.
  • Experience with cloud-native and Kubernetes-based platforms for 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 building agentic AI systems involving 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 in regulated environments such as financial services, including AI governance, risk management, and compliance considerations.
  • Eligibility to work for American Express in the UK is required; visa sponsorship will not be pursued.

Imtiyozlar

  • Competitive base salary.
  • Bonus incentives.
  • Support for financial well-being and retirement.
  • Comprehensive medical, dental, vision, life insurance, and disability benefits, depending on location.
  • Flexible working arrangements, including hybrid, onsite, or virtual options depending on the role and business need.
  • Generous paid parental leave policies, depending on location.
  • Free access to global onsite wellness centers staffed by nurses and doctors, depending on location.
  • Free, confidential counseling through the Healthy Minds program.
  • Career development and training opportunities.

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