{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “AI Infrastructure Architecture Manager in City of London”, “description”: “
Location: London
Salary: Competitive salary and package dependent on experience
Career Level: Manager or Associate Manager (based on experience)
Job Description
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
AI Skills
- 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.
Company: Energy Jobline ZR
Location: London
Job Description:
Location: London
Salary: Competitive salary and package dependent on experience
Career Level: Manager or Associate Manager (based on experience)
Job Description
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
AI Skills
- 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.
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Posted: May 18th, 2026