AI Native Staff Architect (Remote)
Company websiteexperian.com (Experian, opens in new tab)
Base salary $137,102 to $246,784
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceRemote
- Status at last checkSource accepting applications when checked
- Last checked (8 min ago) · observed since
About this job
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/.
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.
Source: Experian on SmartRecruiters · View original posting (opens in new tab)
This listingAI Native Staff Architect (Remote)$137,102 to $246,784
Senior Marketing Manager, Fintech$137,102 to $246,784
Staff Architect - Data Platform (Remote)$137,102 to $246,784
Security Partner$133,109 to $239,596
CFC Senior Enterprise Security Incident Manager$153,075 to $275,535
Lead Software Engineer$119,219 to $214,594
Director, Security Enablement (Remote)$157,667 to $283,801
Chart as a table
| Role | Published base |
|---|---|
| AI Native Staff Architect (Remote) (this listing) | $137,102 - $246,784 |
| Senior Marketing Manager, Fintech | $137,102 - $246,784 |
| Staff Architect - Data Platform (Remote) | $137,102 - $246,784 |
| Security Partner | $133,109 - $239,596 |
| CFC Senior Enterprise Security Incident Manager | $153,075 - $275,535 |
| Lead Software Engineer | $119,219 - $214,594 |
| Director, Security Enablement (Remote) | $157,667 - $283,801 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-09-01
Where this pay comes from
Location as the employer wrote it: Job Posting - Salary Range
USD 137,102 – 246,784 · annual (nosalary B: compensation.period YEARLY) · salary · Job Posting - Salary Range
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
