AI 原生资深架构师
AI Native Staff Architect
#### 公司简介
Experian 是一家全球数据和技术公司，为世界各地的个人和企业创造机会。我们在多个市场开展业务，包括金融服务、医疗保健、汽车、农业、保险等。Experian 投资于人才和先进技术，以释放数据的潜力。我们在 32 个国家拥有 25,200 名优秀员工。
#### 职位描述
作为 AI 原生架构师，您将通过平衡长期架构愿景与实际执行，帮助定义我们平台的未来。与工程、产品和业务领导者合作，您将推动现代工程实践，促进跨团队的技术成长，并确保我们的技术基础随着业务不断发展。这是一个需要亲力亲为的架构角色，结合战略技术领导力与解决方案设计、原型开发和实施的积极参与。
您将向工程总监汇报工作。
**您将有机会：**
- 领导在 AWS 上构建身份欺诈检测、风险分析和数字智能平台的云原生解决方案的架构设计和实现。
- 确保解决方案可扩展、高可用、安全且高效，同时保持目标一致。
- 对数字智能和设备指纹领域做出架构决策并管理技术策略。
- 制定编码标准，进行架构评审，并指导工程师遵循最佳实践。
- 设计和实现能够处理大量实时数据、低延迟和高可用性的 RESTful 服务。
- 使用 Java、Spring Boot、Docker、Kubernetes、AWS 服务、Apache、Kafka 以及 NoSQL 和 SQL 数据库来构建系统。
- 在工程团队中提供解决方案设计、架构模式和技术选择方面的技术领导力。
- 与产品、工程、数据科学、安全和战略合作伙伴合作，将欺诈和风险需求转化为技术解决方案。
- 构建事件驱动的数据密集型平台，大规模处理设备信号、行为数据、欺诈指标和风险评分。
- 构建支持持续交付、可观测性、安全、合规性和成本优化的系统，以提高运营效率。
- 指导 AI 原生工程实践，并将 AI 和 ML 能力嵌入产品功能，包括欺诈检测、异常检测、风险评分等。
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#### Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
#### Job Description
As the AI Native Staff Architect, you will help define the future of our platform by balancing long-term architectural vision with practical execution. Working with engineering, product, and business leaders, you'll promote modern engineering practices, foster technical growth across teams, and ensure our technology foundation continues to evolve with the business. This is a hands-on architecture role that combines strategic technical leadership with active participation in solution design, prototyping, and implementation.
You will report to the Director of Engineering.
**You'll have the opportunity to:**
- Lead architecture design and implementation of cloud native solutions for identity fraud detection, risk analysis, and digital intelligence platforms on AWS.
- Ensure solutions are scalable, resilient, secure, and efficient while maintaining agreement on goals.
- Make architecture decisions and manage technical strategy for the digital intelligence and device fingerprinting domains.
- Establish coding standards, conduct architecture reviews, and mentor engineers on best practices.
- Design and implement RESTful services that can handle large volumes of real-time data with low latency and high availability.
- Architect systems using Java, Spring Boot, Docker, Kubernetes, AWS services, Apache, Kafka, and NoSQL and SQL databases.
- Provide technical leadership across engineering teams on solution design, architecture patterns, and technology choices.
- Partner with product, engineering, data science, security, and strategic partners to translate fraud and risk requirements into technical solutions.
- Build event-driven data-intensive platforms processing device signals, behavioral data, fraud indicators, and risk scoring at scale.
- Architect systems supporting continuous delivery, observability, security, compliance, and cost optimization for operational efficiency.
- Guide AI native engineering practices and embed AI and ML capabilities into product features, including fraud detection, anomaly detection, risk scoring, and device intelligence.
- Promote AI tool adoption for development, productivity testing, and operational efficiency.
#### Qualifications
- 10+ years of experience designing cloud-native solutions on AWS and expertise in AWS services (EC2, RDS, DynamoDB, Kinesis, Lambda), Docker/Kubernetes, and infrastructure-as-code.
- Experience designing scalable, resilient, and cost-optimized Java architectures for high-volume, low-latency, cloud-native applications.
- Experience architecting complex, mission-critical systems serving millions of requests with performance and availability requirements.
- Track record translating requirements into technical solutions while managing multiple engineering teams and partner dependencies.
- Expertise in designing event-driven, data-intensive platforms and APIs.
- Knowledge of asynchronous processing, message brokers (Kafka), database optimization, API design principles, and techniques for achieving low-latency, high-throughput systems.
- Experience leading technical strategy, establishing architecture standards, and mentoring engineers.
- Experience translating technical concepts and aligning engineering with business objectives.
#### Additional Information
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
**Benefits/Perks:**
- Great compensation package and bonus plan.
- Core benefits including medical, dental, vision, and matching 401K.
- Flexible work environment, ability to work remote, hybrid or in-office.
- Flexible time off including volunteer time off, vacation, sick and 12-paid holidays.
- Explore all our exciting benefits here: [https://myexperianbenefits.com/.](https://myexperianbenefits.com/)
**Recruitment Fraud Awareness**- Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an **@experian.com** email address.
**Experian will never ask candidates to make any payment** as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit **[experian.com/careers](http://experian.com/careers)**
#LI-Remote
This is a remote role.