AI Infrastructure Architecture Manager in City of London

AI Infrastructure Architecture Manager in City of London

London Full-Time 60000 - 80000 € / year (est.) No home office possible
E

At a Glance

  • Tasks: Lead the development of AI strategies and implement innovative workplace solutions.
  • Company: Join a forward-thinking company in the heart of London.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic role with a focus on innovation and collaboration.
  • Why this job: Shape the future of work with cutting-edge AI technologies and make a real impact.
  • Qualifications: Experience in AI tools and strong leadership skills required.

The predicted salary is between 60000 - 80000 € per year.

Location: London

Salary: Competitive salary and package dependent on experience

Career Level: Manager or Associate Manager (based on experience)

As a Workplace AI Enablement Manager, you will:

  • Develop and deliver the organisation’s workplace AI strategy, ensuring alignment with business goals and technology roadmaps.
  • Lead AI enablement programmes across Microsoft 365 Copilot, Google Workspace AI, ServiceNow AI, and other vendor platforms.
  • Assess current workplace environments and identify opportunities for AI-driven productivity, automation, and experience improvement.
  • Design and implement AI use cases, including intelligent assistants, workflow automation, knowledge retrieval, and predictive insights.
  • Drive adoption and change management, including training, communications, and user readiness activities.
  • Establish governance frameworks for responsible AI usage, data protection, and compliance across workplace tools.
  • Partner with vendors and internal teams to integrate AI capabilities into collaboration, endpoint, and productivity ecosystems.
  • Build value cases, ROI models, and benefit tracking frameworks for AI initiatives.
  • Lead workshops, discovery sessions, and executive briefings to shape AI vision and roadmap.
  • Support RFI/RFP responses, including AI solutioning, technical positioning, and value articulation.
  • Monitor emerging AI trends and continuously evolve the workplace AI strategy.

Experience and Skills:

  • Experience with Digital Employee Experience (DEX) platforms such as Nexthink, Lakeside, or ControlUp.
  • Established experience and understanding of Intune, Workspace ONE, JAMF and how AI enhances device experience.
  • Strong knowledge and firsthand experience of deploying/implementing AI/ML concepts, including LLMs, chatbots, predictive analytics, and automation frameworks.
  • Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow.
  • Experience delivering AI focused change management and adoption programmes with MS Copilot, Google Duet, Clause Copilot.
  • Strong analytical mindset with the ability to identify patterns, inefficiencies, and automation opportunities.
  • Exceptional communication and presentation skills covering both technical and business concepts.
  • Strong stakeholder management and communication skills.
  • Experience with ITSM platforms such as ServiceNow, Jira Service Management, or BMC Remedy.
  • Familiarity with current digital workplace trends, e.g. cloud journeys, productivity solutions and tools, employee experience and Generative AI.
  • Wider complimentary skills such as AWS, Google, Azure, ServiceNow, BMC certification and SRE are desirable but not compulsory.

As a Manager, there is an expectation that they must be able to manage and mentor multiple direct reports; demonstrate an established track record of people leadership.

Job Qualifications:

  • Understanding of core AI concepts and how they apply within business and delivery contexts.
  • Proficiency in AI-powered workplace tools (such as Microsoft 365 Copilot) to create, analyse, and refine content, automate repetitive tasks, summarise information, and improve workflow efficiency.
  • Awareness of Responsible AI principles and adherence to enterprise AI governance, standards, and approved usage guidelines.
  • AI training and/or certifications, or a commitment to ongoing learning to maintain and grow AI proficiency.

AI Infrastructure Architecture Manager in City of London employer: Energy Jobline ZR

As an AI Infrastructure Architecture Manager in the vibrant City of London, you will thrive in a dynamic work culture that champions innovation and collaboration. The company offers competitive salaries, comprehensive benefits, and ample opportunities for professional growth, ensuring that employees are well-supported in their career journeys. With a focus on cutting-edge AI technologies and a commitment to responsible practices, this role provides a unique chance to make a meaningful impact while working alongside industry leaders in a forward-thinking environment.

E

Contact Detail:

Energy Jobline ZR Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Infrastructure Architecture Manager in City of London

Network Like a Pro

Get out there and connect with folks in the AI and tech scene! Attend meetups, webinars, or industry events. You never know who might be looking for someone just like you!

Show Off Your Skills

Create a portfolio showcasing your AI projects and achievements. Whether it's a blog, GitHub repo, or a personal website, let your work speak for itself. This is your chance to shine!

Ace the Interview

Prepare for those tricky interview questions by practising your responses. Focus on your experience with AI tools and change management. Remember, confidence is key, so show them what you've got!

Apply Through Us!

Don't forget to check out our website for the latest job openings. Applying through us gives you a better chance to stand out and land that dream role in AI infrastructure!

We think you need these skills to ace AI Infrastructure Architecture Manager in City of London

AI Strategy Development
Microsoft 365 Copilot
Google Workspace AI
ServiceNow AI
AI Use Case Design
Change Management
Governance Frameworks

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI and workplace tools. We want to see how your skills align with our needs, so don’t hold back on showcasing your relevant achievements!

Showcase Your AI Knowledge:Since this role is all about AI enablement, be sure to include any specific projects or experiences you've had with AI technologies. We love seeing real-world applications of your skills, so share those success stories!

Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see why you’re a great fit for the role!

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Energy Jobline ZR

Know Your AI Stuff

Make sure you brush up on your knowledge of AI concepts and tools relevant to the role. Familiarise yourself with Microsoft 365 Copilot, Google Workspace AI, and other platforms mentioned in the job description. Being able to discuss specific use cases and how they can drive productivity will impress the interviewers.

Showcase Your Change Management Skills

Since this role involves driving adoption and change management, prepare examples from your past experiences where you've successfully implemented AI-focused programmes. Highlight your communication strategies and how you engaged stakeholders to ensure smooth transitions.

Prepare for Technical Questions

Expect some technical questions about AI deployment and implementation. Brush up on your understanding of LLMs, chatbots, and predictive analytics. Be ready to explain how these technologies can enhance workplace environments and improve employee experience.

Demonstrate Leadership Experience

As a manager, you'll need to showcase your leadership skills. Prepare to discuss your experience managing teams, mentoring direct reports, and how you've fostered a collaborative environment. Share specific examples that highlight your ability to lead workshops and shape AI vision.