Experian

Senior Director, AI Platform Engineering (Remote)

Experian$175K — $210K *
US-AnywhereRemote in United States
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in technology roles
  • 3+ years in senior leadership roles
  • Proven experience with production AI systems at enterprise scale
  • Deep understanding of the software development lifecycle and AI's impact on it
  • Expertise in MCP protocol and multi-agent orchestration
  • Background in designing developer-facing platforms with governance models
  • Strong leadership in technical direction and architectural review

Responsibilities

  • Oversee the creation of a platform for identity, rate limiting, and model access management
  • Lead the development of an agent marketplace and trust framework
  • Build AI layers in CI/CD processes for optimal leverage
  • Manage the knowledge graph and retrieval architecture
  • Review and guide design implementations while setting governance standards
  • Unblock implementation challenges for a team of developers
  • Develop a strategic roadmap for AI transformation in software delivery

Benefits

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment (remote, hybrid, or in-office)
  • Flexible time off including vacation, sick leave, and 12 paid holidays
  • Volunteer time off available
Full Job Description
Job Description

As a Senior Director of AI Platform Engineering, you will oversee a layer of our internal platform that makes AI real for an engineering organization of 5,000 developers. This platform allows teams use to build, run, and govern agents.

Additionally, it includes the AI architecture that identifies, logs, enforces policies on, and controls the cost of every model interaction in the organization.

You will assess where AI creates genuine leverage across the software development lifecycle, sequence a roadmap against a clear north star, and ship production systems. The platform you build is how the engineering organization moves from individual AI experimentation to AI-native software delivery at scale. You will report to the VP of Developer Platform Engineering.

You'll have Opportunity To:
  • Oversee creation of the internal platform that is responsible for identity, rate limiting, data classification enforcement, audit logging, and model access management.
  • Oversee the agent marketplace - the registry, trust framework, and contribution model that turns every team's AI automation into shared organizational capability
  • Build the pipeline-level AI layer, assessing where governed AI steps in CI/CD create the most leverage
  • Own the knowledge graph and retrieval architecture
  • Review designs, unblock implementation, and set grounding and governance standards for the team of developers you will oversee
  • The best candidate for this role has shipped production AI systems, has a genuine point of view on how AI changes the shape of software development, and is the kind of leader other engineers look to when the question is how to build something that has not been built before.


Qualifications
  • 8+ years in technology roles
  • 3+ years in senior leadership roles
  • Track record building and operating production AI systems at enterprise scale - RAG pipelines, agentic workflows, LLM API integration, and the governance infrastructure
  • Fluency in the software development lifecycle and a point of view on how AI changes the shape of it
  • Implementation-level knowledge of MCP protocol and agentic orchestration - including MCP server development, multi-agent coordination, and grounding standards
  • Experience designing developer-facing platforms with contribution and governance models at scale - inner-source programs, agent or capability marketplaces
  • Leadership history of setting technical direction, review architecture, and stay close to implementation while running a lean team and driving influence across thousands of developers without becoming the bottleneck


Additional Information

Benefits/Perks
  • 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
  • Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html
  • #LI-Remote


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. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.

Videos To Watch
https://www.youtube.com/watch?v=m2lY6B78g6s

About Experian

Experian is a global information services company that provides data and analytical tools to clients around the world. The company was founded in 1996 and is headquartered in Dublin, Ireland. Experian operates in four main business areas: Credit Services, Decision Analytics, Marketing Services, and Consumer Services. The company provides credit reporting services to businesses and consumers, helping them to make informed decisions about credit and financial risk. Experian also provides data and analytics to help businesses manage risk, prevent fraud, and improve their marketing efforts. The company has operations in 45 countries and serves clients in more than 100 countries.
Learn more about Experian
Size
51,493 employees
Industry
Founded
1980
NASDAQ

Similar Jobs

More Jobs at Experian

More Enterprise Technology Jobs

Find similar Senior Director, AI Platform Engineering (Remote) jobs: