Senior Director, AI Software Engineering

Experian•Madison, MS
•$137,102 - $246,784•Hybrid

About The Position

Experian is a global data and technology company with 25,200 people in 32 countries. The Senior Director, AI Software Engineering will lead the integration of artificial intelligence into software platforms serving business clients and their end customers. The role manages engineering teams across three countries and establishes standards for building, delivering, and supporting software. It balances enterprise security and compliance with smooth consumer experiences, while helping global teams work faster through modern AI-assisted development tools. The role is based in or near one of Experian’s designated collaboration hubs: Costa Mesa or San Jose, California; Allen or Austin, Texas; Franklin, Tennessee; New York, New York; Schaumburg, Illinois; Washington, D.C.; Atlanta, Georgia; Boston, Massachusetts; or Seattle, Washington. It reports to the VP, Partner Solutions Engineering. The position is hybrid, with an emphasis on collaboration with colleagues in person. The successful candidate will guide global adoption of AI across engineering, modernize the software development lifecycle, integrate AI capabilities into core platforms, and work with global teams to deliver features while meeting enterprise security and compliance requirements. The role is full-time and offers a base salary range of $137,102–$246,784, with eligibility for variable pay.

Requirements

  • 12 or more years of experience in software application development.
  • 5 or more years leading multi-layered engineering organizations and managing managers, including distributed international teams.
  • Hands-on technical management experience with AWS, .NET, Java, React, Salesforce, and MuleSoft environments.
  • Experience in B2B2C, B2B, or high-scale B2C SaaS environments, including managing architecture complexity, tenant isolation, and data privacy requirements.
  • Direct experience deploying and scaling AI development tools such as GitHub, Claude, Copilot, Cursor AI, and Kiro across an engineering organization.
  • Experience building products using an AI-DLC process, including application-level integrations and agentic AI tools such as Amazon Kiro.
  • Track record leading major technical or cultural transformations, such as DevOps, cloud migration, or AI tool rollouts, across large, distributed engineering teams.
  • Reside in or near one of the designated collaboration hubs.

Responsibilities

  • Lead a global strategy to embed AI across the engineering organization and establish consistent standards for delivery speed and quality.
  • Manage and mentor engineering leaders across three countries, fostering a collaborative, experimentation-driven culture.
  • Modernize the software development lifecycle by introducing AI coding tools to automate code generation, testing, and localization.
  • Drive organization-wide adoption, security compliance, and training for AI development platforms, including GitHub, Claude, Copilot, Cursor AI, and Amazon Kiro.
  • Shift engineering teams toward intent-driven development workflows, including spec-driven AI-DLC frameworks and Model Context Protocol (MCP) integrations.
  • Integrate AI capabilities into core platforms, including React frontends, .NET and Java microservices, Salesforce, and MuleSoft.
  • Partner with global teams to balance fast feature delivery with enterprise-grade security and compliance requirements.

Benefits

  • Great compensation package and bonus plan.
  • Medical, dental, and vision benefits.
  • Matching 401(k).
  • Flexible work environment, with the ability to work remotely, hybrid, or in-office.
  • Flexible time off, including volunteer time off, vacation, sick time, and 12 paid holidays.
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