Data and AI Developer

LSE is committed to building a diverse, equitable and truly inclusive university

Salary from £53,949 to £62,160 per annum inclusive with potential to progress to £69,073 pa inclusive of London allowance

The London School of Economics is a cosmopolitan university situated in the vibrant centre of London that specialises in the study of social sciences.

LSE’s Data and Technology Services division provides services to over 10,000 staff and student users.

The post holder will deliver AI-enabled solutions end-to-end by building and operating the data foundations in Microsoft Fabric (OneLake,Lakehouse,Warehouse) and building AI experiences using Azure AI Foundry / Azure OpenAI / Copilot Studio, including retrieval grounding (RAG), evaluation, and safe deployment.

They will demonstrate either strong data engineering and/or AI application development, and secure platform delivery experience, with evidence of working across modern Microsoft data and/or AI services.

Key Tasks:

• Reliable, governed AI-ready datasets in Fabric with clear lineage, quality checks, and refresh SLAs.
• AI use cases shipped (copilot/agent/app) with grounding, guardrails, monitoring, and measurable adoption/value.
• A repeatable delivery pattern: templates, reusable components, and documented standards.

Candidates should have:

• GenAI & RAG engineering: RAG data prep (chunking/metadata/embedding refresh); Azure OpenAI grounding patterns (RAG, citations, filters); prompt engineering and tool/function calling; evaluation & regression testing for prompts/retrieval.
• Experience of working with best-practice Change and Release Management processes
• Experienced in identifying and resolving thematic issues and looks a data for insight and metrics to improve performance of the whole Division.

We offer an occupational pension scheme, generous annual leave, hybrid working, and excellent training and development opportunities.

For further information about the post, please see the how to apply document, job description and the person specification.

To apply for this post, please go to www.jobs.lse.ac.uk.

If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page.

Should you have any queries about the role, please email dts.admin@lse.ac.uk.

The closing date for receipt of applications is 09 July 2026 (23.59 UK time).

Regrettably, we are unable to accept any late applications.

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