AI Native Staff Architect (Remote)

Experian; Northern (KY); Hybrid; USD 137,000 - 247,000; Full time

Benefits offered by this job

Great compensation

Bonus plan

Medical benefits

401K matching

Remote or hybrid

Flexible time off

Job summary

Experian is seeking an AI Native Staff Architect to shape the cloud-native platform on AWS, leading architecture decisions and mentoring teams. You will design scalable, low-latency solutions and integrate AI/ML capabilities while collaborating with product, security, data science, and partners.

The role is remote with a strong compensation package, flexible time off, and opportunities to influence the digital intelligence domain across our platforms.

Qualifications

• 10+ years of experience designing cloud-native solutions on AWS.
• Experience designing scalable, high-volume, low-latency Java architectures for cloud-native apps.
• Proven track record leading multiple engineering teams and partner dependencies.
• Expertise in event-driven, data-intensive platforms and APIs.
• Knowledge of asynchronous processing, message brokers (Kafka), and database optimization.
• Experience translating requirements into technical solutions while aligning engineering with business objectives.

Responsibilities

• Lead architecture design and implementation of cloud-native solutions for identity fraud detection, risk analysis, and digital intelligence platforms on AWS.
• Establish coding standards, conduct architecture reviews, and mentor engineers on best practices.
• Design and implement RESTful services that handle large volumes of real-time data with low latency and high availability.
• Provide technical leadership across engineering teams on solution design, architecture patterns, and technology choices.
• Architect systems with AI/ML capabilities integrated into product features.

Skills

Cloud architecture

AWS services

Leadership

Java

Event-driven systems

REST APIs

Architecture strategy

Education

Bachelor's degree or equivalent experience

Tools

Docker

Kubernetes

Kafka

IaC (infrastructure as code)

AWS services

Job description

• Job Posting - Salary Range: $137,102 - $246,784
• Department: Technology
• Flexible Time Off: 20 Days
• Schedule: Full Time
• Compensation: USD 137102 - USD 246784 - yearly

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.

• 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.

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

This is a remote role.

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