Senior Engineering Manager (AI)
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Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
Job description
We are looking for a collaborative and customer focused Senior Engineering Manager in AI to work within the ECS Technology function; a technically strong engineering leader who manages people effectively while staying deeply engaged in architectural decisionmaking AI systems engineering platform strategy and AIdriven software engineering practices. This is a handson technical leadership role: you will set engineering direction define platform approaches and 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 Experian Boost and the advanced Credit Expert product. We are an agile business that has been through a complete technical and organisational transformation.
Why this role is important to us
The role is platformminded. The teams you lead will build and operate foundational capabilities patterns and tooling that enable other productengineering teams to contribute features into AI surfaces - fromouron-property chatbot EVA tooff-property integrations suchas 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 (internal IaC) 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: identifying opportunities 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 secure and extensible interfaces into on and offproperty conversational channels.
Define and evolve platform patterns abstractions SDKs and 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 operational automation and developertooling enhancements.
Partner with Cloud Services (IaC) and AWS to provide wellgoverned scalable infrastructure and deployment tooling.
Establish architectural standards that maximise extensibility and longterm maintainability while avoiding premature complexity.
Implement robust LLMspecific testing and evaluation (regression harnesses behaviour change detection safety checks latency and 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 timetofirstfeature and 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. Experians 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. Experians people first approach is award-winning; Worlds 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 Experians 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.
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Remote Work :
No
Employment Type :
Full-time
Key Skills
About Company
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, ... View more
