Staff Platform Architect, Data & AI

🕒 August 7

🇺🇸 United States – Remote

💵 $133.1k - $239.6k / year

⏰ Full Time

🔴 Lead

🔙 Backend Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 4%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Experian

WebsiteLinkedInAll Job Openings

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

• Evolve existing batch, analytics, and MLOps platforms to improve reliability, cost, and operational efficiency • Develop infrastructure for semantic and ontology layers, including authoring and governance tooling, lifecycle management, and catalog integration • Design usage infrastructure including APIs, libraries, and services for internal users, client-facing products, and AI agents • Implement permission-aware semantic discovery • Guide technology adoption across engineering teams through well-reasoned architectural choices • Lead prototyping and R&D efforts with analytics product and engineering teams • Mentor engineers in system design, first-principles thinking, and product awareness • Report to the Sr. Director of Platform Engineering as an individual contributor

🎯 Requirements

• 10+ years of software engineering experience focused on enterprise-scale data platforms, analytics infrastructure, and AI/ML systems • Bachelor's Degree or higher in science, technology, engineering, or a related field • Experience building or operating MLOps platforms from data access and feature engineering through model deployment and monitoring • Experience with data modeling, schema design, and data quality • Hands-on experience with AI agent-based architectures for governed data access, semantic discovery, and enterprise data retrieval • Experience designing federated catalog architectures for unified data access across platforms and data silos • Experience with security, compliance, governance, data residency, and access control for AI/ML workloads • Experience with distributed computing, cloud-native infrastructure, and large-scale public-cloud data workloads such as AWS • Comfort with infrastructure as code and operating production workloads • Demonstrated experience managing and evolving shared platform architectures • Experience driving architectural agreement through technical influence, reference architectures, and hands-on collaboration • Background in credit risk, financial services, or other regulated data domains

🏖️ Benefits

• Great compensation package and bonus plan • Medical, dental, and vision benefits • 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 • Variable pay opportunity • Comprehensive benefits package