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Associate AI Platform Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Lightsource bp
Full Time position
Listed on 2026-07-10
Job specializations:
  • IT/Tech
    M365, SharePoint & Power Platform
Salary/Wage Range or Industry Benchmark: 42000 - 54000 GBP Yearly GBP 42000.00 54000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Role Overview

As an Associate AI Platforms Engineer, you'll help deliver the rollout and day-to-day administration of our enterprise AI platforms, such as Microsoft 365 Copilot. You'll support pilots, help users get the most out of the tools, run training sessions, and keep things ticking over behind the scenes.

This is a hands‑on early‑career role for someone curious about AI, comfortable with Microsoft 365, and excited to learn how big organisations adopt new technology safely. There's a clear path to grow into a more senior platforms role as the function expands.

Responsibilities
  • Support the rollout of AI platforms, such as Microsoft 365 Copilot across the business, including pilot waves, user onboarding, and post‑deployment support.
  • Carry out day‑to‑day administration tasks for AI platforms - licensing, basic configuration, user provisioning, and routine troubleshooting.
  • Help prepare and deliver training materials, “lunch and learn” sessions, and office hours that help colleagues use systems in their day to day.
  • Maintain documentation, FAQs, and internal knowledge content for the AI platforms we run.
  • Help collect and present adoption and usage data so the team can see what's working.
  • Triage user questions and platform issues, escalating to senior team members or specialised teams (Identity, Security, Information Protection) when needed.
  • Work with the Information Protection team on practical tasks that improve content readiness for platforms (e.g. helping with sensitivity labels and access hygiene).
  • Get exposure to our Snowflake‑based advanced AI platform (Cortex Code, Cortex Agents) and support early users where helpful.
  • Keep up with the platform roadmaps and bring useful new features to the team's attention.
  • Build small Low‑Code solutions where they help solve practical problems.
Experience & Knowledge Required
  • 2 to 4 years' experience in IT, platform engineering, technology operations, or enterprise SaaS administration in a corporate environment.
  • Hands‑on experience administering the Microsoft 365 environment, including admin centres (M365, Teams, SharePoint, Exchange Online), licensing, user provisioning, and configuration. Prior experience as the named admin for a team, function, or enterprise tenant is strongly preferred.
  • Power user of enterprise AI tools. Confident, daily user of Microsoft 365 Copilot, ChatGPT, Claude, or equivalent. We want someone who already lives inside these tools, not someone learning them on the job.
  • Practical knowledge of how enterprise AI tools are governed and adopted inside large organisations, including content readiness, access hygiene, sensitivity labelling, and responsible AI use.
  • Practical experience contributing to a technology rollout or adoption programme, including pilots, user onboarding, training delivery, or post‑deployment support.
  • General awareness of the broader Microsoft enterprise technology landscape, including identity and access (Entra ), data protection (Purview), and how IT, Security, and Information Protection teams work together.
  • Prior experience with Quickbase, or another Low‑Code platform such as Power Apps, Power Automate, Mendix, Out Systems, or Appian, is a plus.
  • Prior admin or power‑user experience on other common enterprise platforms (e.g. Service Now, Salesforce, Workday) is a plus.
  • Awareness of multi‑region AI regulation such as the EU AI Act is a plus.
Skills Required
  • Strong written and verbal communication. Confident explaining technical concepts to non‑technical colleagues, producing clean documentation, and presenting in small group settings.
  • Ability to plan and run user‑facing enablement activity (training sessions, demos, office hours, “lunch and learn” formats) independently and to a professional standard.
  • Pragmatic delivery skills. Able to take a defined piece of work, plan it, execute it, and report back without close supervision.
  • Confident, hands‑on use of AI tools in everyday work, including practical prompt craft and knowing when to use which model.
  • Genuine curiosity about AI and the discipline to learn fast in a category that is still evolving.
  • Collaborative working style. Comfortable partnering with senior colleagues across IT,…
Position Requirements
10+ Years work experience
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