AI Native Staff Architect

🔥 0 minutes ago

🤠 Texas – Remote

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💵 $137.1k - $246.8k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

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Experian

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• Lead architecture design and implementation of cloud-native AWS solutions for identity fraud detection, risk analysis, and digital intelligence platforms • Ensure solutions are scalable, resilient, secure, efficient, and aligned with business goals • Make architecture decisions and manage technical strategy for digital intelligence and device fingerprinting domains • Establish coding standards and conduct architecture reviews • Mentor engineers on technical best practices • Design and implement RESTful services handling high-volume, real-time data with low latency and high availability • Architect systems using Java, Spring Boot, Docker, Kubernetes, AWS, 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 teams 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 • Guide AI-native engineering practices and embed AI/ML capabilities into product features • Promote AI tool adoption for development, productivity, testing, and operational efficiency

🎯 Requirements

• 10+ years of experience designing cloud-native solutions on AWS • Expertise in AWS services including EC2, RDS, DynamoDB, Kinesis, and Lambda • Experience with Docker, Kubernetes, and infrastructure-as-code • Experience designing scalable, resilient, and cost-optimized Java architectures • Experience architecting complex, mission-critical systems serving millions of requests • Experience managing multiple engineering teams and partner dependencies • Expertise designing event-driven, data-intensive platforms and APIs • Knowledge of asynchronous processing, Kafka, database optimization, API design principles, and low-latency, high-throughput techniques • 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 • Variable pay opportunity • Medical, dental, and vision benefits • Matching 401K • Flexible work environment with remote, hybrid, or in-office options • Flexible time off, including volunteer time off, vacation, sick leave, and 12 paid holidays

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