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- Tasks: Lead the integration of AI tools like Microsoft 365 Copilot and Google Workspace Gemini.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of work with cutting-edge AI solutions that enhance productivity.
- Qualifications: Experience with Microsoft 365 and Google Workspace, plus a passion for AI technologies.
- Other info: Dynamic role with excellent career advancement in a rapidly evolving tech landscape.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a highly skilled, forward-thinking and delivery focused AI Workspace Engineer to lead the technical delivery, governance, and optimisation of enterprise AI productivity platforms. The role focuses primarily on Microsoft 365 Copilot and Google Workspace Gemini, including NotebookLM, while also covering complementary enterprise AI tools that enhance collaboration, decision-making, knowledge management, and automation.
As the technical subject matter expert, you will design, deploy, integrate, and operationalise AI-powered experiences that transform how the organisation works. The role spans solution architecture, security and compliance alignment, data readiness, custom extension development, user enablement, and ongoing optimisation across both Microsoft and Google ecosystems. This is a high-impact role that shapes how the organisation leverages next-generation AI capabilities across the digital workplace.
Accountabilities & Responsibilities- Lead the technical enablement and integration of Microsoft 365 Copilot, Google Workspace Gemini, and NotebookLM across the organisation.
- Build and embed AI-powered solutions using platform APIs, connectors, extension frameworks, and automation tools.
- Act as the technical subject matter expert for all enterprise AI workspace technologies, supporting engineering, architecture, security, and business teams.
- Integrate AI capabilities with enterprise systems and data sources to enable contextual, workflow-driven use cases.
- Develop reusable prompts, templates, and solution components to accelerate adoption and standardise delivery.
- Ensure secure, compliant, and well-governed operation of AI tools by working closely with security, identity, and risk teams.
- Manage the lifecycle of AI workspace solutions, including deployment, monitoring, optimisation, and ongoing improvements.
- Support adoption and change by providing technical guidance, patterns, and enablement to teams and users.
- Evaluate new features and roadmaps from Microsoft and Google and recommend strategic enhancements.
- Strong, demonstrable hands-on experience with Microsoft 365, including Copilot, Copilot Studio, Graph API, and core M365 administration.
- Hands-on experience with Google Workspace, including Gemini for Business, NotebookLM, Workspace Admin Console, and Workspace Add-ons.
- Proven ability to embed AI capabilities into business workflows, applications, and collaboration tools.
- Good understanding of enterprise identity, data governance, and security controls across Microsoft and Google ecosystems.
- Experience creating prompts, templates, grounding solutions, or automation workflows that improve real user productivity.
- Solid knowledge of Microsoft Graph API, Workspace APIs, and related permissions models.
- Good understanding of cloud AI services such as Azure AI, Azure OpenAI, Vertex AI.
- Ability to build extensions or automations using Power Automate, Apps Script, or comparable tooling.
- Understanding of Responsible AI practices, including safe prompting, data boundaries, and AI behaviour testing.
- Good grasp of enterprise architecture basics and how AI capabilities integrate with enterprise systems.
- Good understanding of Microsoft 365 and Copilot licensing models, including prerequisites, service plans, data access implications, and organisational rollout considerations.
- Familiarity with Google Workspace and Gemini licensing tiers (Business, Enterprise, add-ons) and how they affect feature availability and deployment.
- Highly curious, self-driven, and passionate about emerging AI technologies.
- Strong problem-solving mindset and ability to learn quickly through experimentation.
- Effective communicator who can explain technical concepts to non-technical stakeholders.
- Collaborative team player, comfortable working across engineering, security, data, and business teams.
- Adaptable and proactive, thriving in an environment where AI capabilities evolve rapidly.
- Microsoft 365 Enterprise Administrator Expert
- Microsoft Azure Solutions Architect Expert
- Google Professional Collaboration Engineer or relevant Google Cloud certifications
- Architecture framework certification such as TOGAF (optional but beneficial)
AI Workspace Engineer in London employer: Adecco
Contact Detail:
Adecco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Workspace Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works in AI. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Microsoft 365 Copilot or Google Workspace Gemini. This is your chance to demonstrate your hands-on experience and problem-solving abilities. Make sure to highlight any AI-powered solutions you've developed!
✨Tip Number 3
Prepare for those interviews! Research common questions for AI Workspace Engineer roles and practice your responses. Be ready to discuss your experience with APIs, automation tools, and how you've integrated AI into business workflows. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about AI and eager to join our team. Tailor your application to reflect your understanding of the role and how you can contribute to our mission.
We think you need these skills to ace AI Workspace Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with Microsoft 365 and Google Workspace. We want to see how your skills align with the role of AI Workspace Engineer, so don’t hold back on showcasing your relevant projects!
Show Off Your Technical Skills: This role is all about technical delivery and optimisation, so be sure to include specific examples of your hands-on experience with tools like Copilot, Graph API, and automation workflows. We love seeing real-world applications of your skills!
Communicate Clearly: Remember, you’ll need to explain complex tech concepts to non-technical folks. Use clear, straightforward language in your application to demonstrate your communication skills. We’re looking for someone who can bridge the gap between tech and business!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out on the chance to join our team!
How to prepare for a job interview at Adecco
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft 365 Copilot, Google Workspace Gemini, and NotebookLM. Brush up on the APIs and tools mentioned in the job description, as being able to discuss them confidently will show your expertise and readiness for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've embedded AI capabilities into business workflows or improved productivity through automation. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your impact.
✨Communicate Clearly with Non-Techies
Since you'll be explaining complex concepts to non-technical stakeholders, practice simplifying your explanations. Think about how you can convey technical details in a relatable way, which will demonstrate your communication skills and adaptability.
✨Stay Curious and Up-to-Date
The AI landscape is always changing, so show your passion for emerging technologies. Be prepared to discuss recent developments in AI and how they could apply to the role. This will reflect your proactive mindset and eagerness to learn.
