AI Native Principal Architect (Hybrid)

About the role

The AI Native Principal Architect at Experian will lead the design and implementation of cloud native solutions for identity fraud detection, risk analysis, and digital intelligence platforms on AWS. They will ensure solutions are scalable, resilient, secure, and efficient while maintaining alignment on goals.

Responsibilities

• Promote modern engineering practices, foster technical growth across teams, and ensure our technology foundation continues to evolve with the business.
• Lead architecture design and implementation of cloud native solutions for identity fraud detection, risk analysis, and digital intelligence platforms on AWS.
• Architect systems using Java, Spring Boot, Docker, Kubernetes, AWS services, Apache, Kafka, and NoSQL and SQL databases.
• Design and implement RESTful services that can 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.
• Partner with product, engineering, data science, security, and strategic partners to translate fraud and risk requirements into technical solutions.
• 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.
• 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.

Benefits

Great compensation package and bonus plan. Core benefits include 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/.