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AI Native Staff Architect (Remote)

Design and implement scalable, secure AI-native cloud architectures for fraud detection and risk analysis o...

Lead the design and implementation of cloud-native solutions for identity fraud detection and risk analysis platforms on AWS. Ensure scalability, security, and efficiency while collaborating with cross-functional teams to translate business requirements into technical solutions. Mentorship and promotion of AI tool adoption for enhanced development and operational efficiency.

Why This Role?

Directly contribute to shaping the future of Experian's platform through cutting-edge AI and cloud architecture

Key Responsibilities

  • Lead architecture design and implementation for cloud-native fraud and risk platforms on AWS
  • Ensure solutions meet scalability, resilience, security, and efficiency standards
  • Make architectural decisions and manage technical strategy for digital intelligence and device fingerprinting
  • Mentor engineers on best practices and establish coding standards
  • Design RESTful services for real-time data processing with low latency and high availability

Requirements

  • 10+ years of experience designing cloud-native solutions on AWS
  • Expertise in AWS services (EC2, RDS, DynamoDB, Kinesis, Lambda), Docker/Kubernetes, and infrastructure-as-code
  • Proven experience in scalable, resilient, and cost-optimized Java architectures for high-volume, low-latency cloud applications
  • Strong background in architecting complex, microservices-based systems

Required Skills

awsjavaspring-bootdockerkubernetesarchitecturecloud-nativeCloud ArchitectureAI/ML IntegrationScalable System DesignMentorshipTechnical LeadershipAWS Proficiency

Indonesia Context

Working Hours Overlap:
Flexible — work your own hours
See remote (USD) vs local pay →
View Original Description from SmartRecruiters

Original description from SmartRecruiters

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. 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. 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/. 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 #LI-Remote This is a remote role.

Salary Context

Similar Engineering roles on LokerDollar pay around $216k/yr (range $19.6k–1000k/yr, n=551 active listings).

Hiring at Experian

Experian has 96 other active roles on LokerDollar and has been hiring here since Mar 27, 2026 — across Engineering, Data & Analytics, AI.

View all Experian openings →
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Company
Experian
Job Type
full time
Location
Dublin, Ireland · Remote
Category
Seniority
senior
PostedNewNew & verified
Sep 1, 2026

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Frequently asked questions

Is AI Native Staff Architect (Remote) at Experian a remote job?
This role is based in Remote. See the listing for remote/onsite details.
What type of employment is AI Native Staff Architect (Remote) at Experian?
This is a full time position.
How do I apply?
Click the "Apply" button on this page to go to the official application at Experian.

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