Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the integration of AI tools like Microsoft 365 Copilot and Google Workspace Gemini.
- Company: Join a forward-thinking tech company focused on AI productivity.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of work with cutting-edge AI technologies and make a real impact.
- Qualifications: Experience with Microsoft 365 and Google Workspace, plus a passion for AI.
- Other info: Dynamic role with excellent career advancement in a rapidly evolving field.
The predicted salary is between 36000 - 60000 ÂŁ 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.
Qualifications and skills:
Essential Qualifications
- 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.
Technical Skills
- 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.
Mindset and Behaviour
- 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.
Desirable Certifications
- 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)
Locations
AI Workspace Engineer in City of London, London employer: Adecco
Contact Detail:
Adecco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Workspace Engineer in City of London, 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’s already in the AI space. 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 that highlights your projects related to Microsoft 365 Copilot and Google Workspace Gemini. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Research the company and its culture, and then align your skills and experiences with what they’re looking for. This shows you’re genuinely interested and not just sending out cookie-cutter applications.
✨Tip Number 4
Apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your talents. Plus, it gives us a chance to see your application in the best light. So, don’t hesitate – hit that apply button!
We think you need these skills to ace AI Workspace Engineer in City of London, 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: We’re looking for someone who knows their way around APIs and automation tools. Be sure to include specific examples of how you’ve used Microsoft Graph API or Google Workspace APIs in your previous roles. This is your chance to shine!
Demonstrate Your Problem-Solving Mindset: In your application, share instances where you tackled challenges using AI technologies. We love a good story about how you turned a complex problem into a streamlined solution, so let us know how you think outside the box!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
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 technical details, APIs, and how these tools can enhance productivity. Being able to discuss specific use cases will show your expertise and passion for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've embedded AI capabilities into business workflows or improved user productivity. Think about challenges you've faced and how you tackled them using AI tools. This will demonstrate your hands-on experience and innovative mindset.
✨Communicate Clearly with Non-Techies
Practice explaining complex technical concepts in simple terms. You’ll likely need to interact with non-technical stakeholders, so being able to convey your ideas clearly is crucial. Use relatable analogies or examples to make your points resonate.
✨Stay Curious and Adaptable
Show your enthusiasm for emerging AI technologies and your willingness to learn. Discuss any recent developments in AI that excite you and how you keep up with industry trends. This will highlight your proactive attitude and fit for a rapidly evolving environment.
