Senior Engineering Manager (AI)

Job Description 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 Qualifications Qualifications and Experience Proven experience leading engineering teams with strong technical ownership in AIenabled or platform systems. Handson experience designing and operating platform components and APIs/SDKs used by multiple product teams. Practical understanding of LLM technologies, evaluation methods, prompting approaches, retrieval techniques and safety considerations. Experience designing and scaling systems on AWS and working with internal platform/IaC teams. Experience applying AIdriven engineering techniques to accelerate development workflows and reduce engineering friction. Ability to reason clearly about architectural tradeoffs with a focus on platform simplicity, extensibility and sustainability. Strong communication skills for influencing engineers, product teams and platform stakeholders. Track record enabling other teams to build on your platform (measured by adoption, contribution volume, timetointegrate, support load). How Success Will Be Measured Adoption of MCP servers and platform SDKs across productengineering domains. Timetofirstfeature for new teams building into conversational channels. Reliability, latency and quality KPIs for conversational experiences. Measured uplift in engineering throughput enabled by AIdriven engineering tools and practices. Reduction in support load via selfservice docs, tooling and guardrails. Evidence of safe and compliant LLM behaviour (evaluation pass rates, incident rate). Additional Information 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