Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Job DescriptionThe Financial Services Division (FSD) Engineering team is looking for an Engineering leader. This leader must excel in a non-traditional environment, working with the latest of the Cloud, Big Data, and AI/GenAI ecosystem. Data is the currency in today's world, and in this role, you will be at the forefront of a digital and AI-driven transformation. Reporting to the Director of Software Development, you will lead the development and operations of our real-time API platform, a critical component that powers mission-critical integrations across our ecosystem. You will be responsible for designing, building, and scaling available, low-latency APIs. These APIs support millions of transactions per day. Additionally, you will guide the integration of AI capabilities and latest technologies into our platform, including Model Context Protocol (MCP) and Claude Skills.
What you'll do
- You will lead engineering teams building platform capabilities and solutions for our clients using Experian bureau data and other 3rd party data.
- You will build data pipelines at scale for our batch clients and integrating with 3rd party providers for our real-time clients.
- You will also advocate for using AI and GenAI technologies across the team, including LLM-powered services, agentic workflows, MCP-based integrations, and Claude Skills for extending agent capabilities.
Platform Ownership
- Oversee the architecture, design, and implementation of real-time APIs with a focus on scalability, reliability, and latency
- You will create platform evolution, including modernization, observability, AI-enablement, and CI/CD best practices
Technical Strategy
- Collaborate with partners to define the long-term vision and roadmap for the API platform, including how you will embed AI capabilities, MCP integrations, and Claude skills into the ecosystem.
- Ensure the team follows software engineering best practices including testing, code reviews, and documentation
- Guide the use of latest technologies that support real-time processing, event streaming, performance optimization, and AI/LLM integration
AI & Innovation
- Lead the delivery of AI-powered features. These include LLM integrations, retrieval-augmented generation (RAG), agentic workflows, MCP server/client implementations, and authoring of Claude Skills. The goal is to extend agent capabilities for domain-specific use cases.
- Establish best practices for AI-enabled systems including prompt engineering, evaluation frameworks, model observability, and responsible AI guardrails
Quality & Test Engineering
- Guide the design and adoption of test harness frameworks across unit, integration, contract, performance, and end-to-end testing layers
- Establish AI/LLM-specific evaluation harnesses for prompt regression, output quality scoring, hallucination detection, and evaluation of agentic and MCP-based workflows
- Champion shift-left testing, automated regression suites, and quality gates integrated into CI/CD pipelines
Collaboration
- Work with Product Management, DevOps, Data Science, QA, and other engineering teams to align technical plans with our goals
- Partner with security, compliance, and infrastructure teams to ensure platform meets standards
Delivery & Execution
- Manage the delivery lifecycle of major platform plans
- Track important performance metrics and ensure continuous improvement
- Manage the delivery of insightful dashboards and data visualizations
- Bachelor's degree in Computer Science, Engineering, or related field
- 8+ years of software engineering experience
- 3+ years in engineering leadership roles
- Experience managing real-time, high-throughput API platforms in production environments
- You have hands-on experience delivering AI/ML or GenAI projects in production
- Familiarity with Model Context Protocol (MCP) and the broader AI tooling ecosystem (e.g., Claude, OpenAI, LangChain, LlamaIndex, or similar agent frameworks)
- Experience authoring or working with Claude Skills (or analogous capability-extension frameworks) to package domain expertise for AI agents
- Background in test engineering and quality automation, including building or scaling test harness frameworks (e.g., JUnit, pytest, TestNG, Cypress, Playwright, k6, JMeter, and Pact for contract testing)
- Experience designing evaluation harnesses for AI/LLM systems
- Knowledge of distributed systems, cloud platforms (AWS/GCP/Azure), and modern backend stacks (e.g., Node.js, Java, Go, or Python)
- Experience with API gateways, load balancing, caching, and observability tools (Kibana, Grafana, Datadog, and Prometheus)
- Familiarity with event-driven architectures, message queues (Kafka) and stream processing frameworks
- Experience developing ML Ops capabilities
- Data Science & ML experience
- DevOps Knowledge: Docker and Kubernetes
Our uniqueness is that we celebrate yours. Experian's culture is people-first, inclusive, and purpose-driven. It is also multi-award-winning. For instance, Fortune named it World's Best Workplaces™ 2025 (Global Top 25) and it earned Great Place To Work™ in 26 countries. Check out Experian Life on social or explore our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. We list the base pay range for this position above. Within this range, work location and additional factors such as job-related experience, and education determine individual pay. You will be also eligible for a variable pay opportunity and a comprehensive benefits package.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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-Hybrid
Skills Required
- Bachelor's degree in Computer Science, Engineering, or related field
- 8+ years of software engineering experience
- 3+ years in engineering leadership roles
- Experience managing real-time, high-throughput API platforms in production environments
- Hands-on experience delivering AI/ML or GenAI projects in production
- Familiarity with Model Context Protocol (MCP)
- Experience with Claude Skills or analogous frameworks
- Background in test engineering and quality automation
- Knowledge of distributed systems, cloud platforms (AWS/GCP/Azure)
- Familiarity with event-driven architectures, message queues, and stream processing frameworks
Experian Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.
-
Healthcare Strength — Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
-
Leave & Time Off Breadth — Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
-
Retirement Support — Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.
Experian Insights
What We Do
Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.
