Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI strategies and transform workplace environments with innovative technology.
- Company: Join Accenture, a global leader in professional services and innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for personal growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact by driving AI adoption in leading organisations.
- Qualifications: Experience in AI/ML concepts and strong communication skills required.
The predicted salary is between 60000 - 80000 £ per year.
Location: London
Salary: Competitive salary and package dependent on experience
Career Level: Specialist or Associate Manager (based on experience)
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity.
Accenture’s End User Experience group consists of leading professionals who combine business and industry knowledge with technology expertise, to deliver solutions for implementing and supporting an engaged and connected workplace. Our services revolve around AI, Cloud and SaaS, transitioning clients support, collaboration and productivity environments to a modern OpEx based model while keeping a focus on security and service-oriented architectures.
In our team you will learn:
- How to provide solutions to real world problems across a variety of industries.
- How to help transform leading organisations and communities around the world.
- How best to develop your skills and hone your talents within an innovative technology environment.
As a Workplace AI Enablement Specialist or Associate 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.
We are looking for experience in the following 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 of 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.
Accenture expects all of its people to utilise AI effectively in their day to day work. The following capabilities are desirable for all roles:
- 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 Specialist or Associate Manager in London employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infrastructure Architecture Specialist or Associate Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their AI initiatives and think about how you can contribute. Show them you’re not just another candidate!
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it aligns with the role. Keep it concise but impactful – you want to leave a lasting impression.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Infrastructure Architecture Specialist or Associate Manager in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your experience with AI, cloud technologies, and any relevant certifications. We want to see how your skills align with our needs!
Showcase Your Passion for AI: In your application, let us know why you're excited about AI and how it can transform workplaces. Share any personal projects or experiences that demonstrate your enthusiasm and knowledge in this area.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure it reaches us directly and gives you the best chance of standing out.
How to prepare for a job interview at Accenture
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts and how they apply to workplace environments. Familiarise yourself with tools like Microsoft 365 Copilot and Google Workspace AI, as well as the latest trends in AI-driven productivity. This will show that you're not just a candidate, but someone who understands the landscape.
✨Showcase Your Change Management Skills
Since this role involves driving adoption and change management, be ready to discuss your experience in leading AI-focused programmes. Prepare examples of how you've successfully implemented new technologies or processes in the past, and how you managed stakeholder expectations during those transitions.
✨Prepare for Technical Questions
Expect some technical questions related to AI implementation and digital employee experience platforms. Brush up on your knowledge of ITSM platforms like ServiceNow and Jira, and be prepared to discuss how you've used AI to enhance device experiences or improve workflow efficiency.
✨Communicate Clearly and Confidently
Exceptional communication skills are key for this role. Practice explaining complex technical concepts in simple terms, as you'll need to convey your ideas to both technical and non-technical stakeholders. Consider doing mock interviews with friends or using online platforms to refine your presentation style.