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Job description
We are looking for a collaborative and customer focused Senior Engineering Manager in AI to work within the ECS Technology function atechnically strong engineering leader who manages people effectively while staying deeply engaged in architectural decisionmaking, AI systems engineering, platformstrategyand AIdriven software engineering practices. This is a handson technical leadership role: you will set engineering direction, define platformapproachesand ensure the scalability and maintainability of LLMbased conversational experiences.
Who we are
Experian Consumer Services (ECS) are the team behind your Experian Free Credit Score, ExperianBoostand the advanced Credit Expert product. We are an agilebusiness,that has been through a complete technical andorganisationaltransformation.
Why this role is important to us
The role is platformminded. The teams you lead will build andoperatefoundational capabilities, patterns and tooling that enable other productengineering teams to contribute features intoAI surfaces-from our on-property chatbot EVA to off-property integrations such as OpenAI Apps and beyond. Success is measured not just by what your own teams deliver directly, but by how effectively other teams can build on the platform you provide, and by the breadth of functions across the business that benefit from the reusable agentic capabilities your teams create.
You will work closely on Model Context Protocol design and implementation - owning the design and creation of MCP servers that power on and offproperty experiences - and partner with Cloud Services (internalIaC) and AWS to ensure secure, scalable deployment models for conversational AI systems.
An explicit part of this role includes driving AIdriven software engineering across teams:identifyingopportunities to use LLMs and automation to accelerate development workflows, improve engineering throughput, reduce toil, and strengthen overall engineering effectiveness.
Key Responsibilities
Lead engineering teams building LLMbased conversational capabilities and platform components that enable contribution from multiple domains.
Design, build and operate MCP servers (Model Context Protocol) to provide consistent,secureand extensible interfaces into on and offproperty conversational channels.
Define and evolve platform patterns, abstractions,SDKsand extension points that let other teams build into conversational channels with minimal friction.
Drive adoption of AIdriven software engineering practices, including AIassisted coding, code review, test generation, operationalautomationand developertooling enhancements.
Partner with Cloud Services (IaC) and AWS to provide wellgoverned, scalable infrastructure and deployment tooling.
Establish architectural standards thatmaximiseextensibility and longterm maintainability while avoiding premature complexity.
Implement robust LLMspecific testing and evaluation (regression harnesses,behaviourchange detection, safety checks,latencyand quality monitoring).
Drive engineering practices for LLM systems: retrievalaugmented generation, prompt lifecycle management, model/provider integration, and platformlevel observability.
Enable domain teams via documentation, tooling, examples, training and support track adoption, timetofirstfeatureand developer experience as key metrics.
Provide technical coaching and clear expectations for engineering quality across teams.
Ensure security, reliability and compliance across conversational systems and platform services.
Collaborate with central Experian platform and AI teams and peer engineering leaders across business units to align on shared patterns, reuse capabilities and contribute to group-wide AI strategy.
Qualifications
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Experian Careers - Creating a better tomorrow together
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Job ID: 144883713
