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- Tasks: Lead AI strategies and enablement programmes to transform workplace productivity.
- Company: Join Accenture, a global leader in professional services with a culture of innovation.
- Benefits: Competitive salary, diverse work environment, and opportunities for personal growth.
- Other info: Dynamic team with excellent career advancement opportunities.
- Why this job: Make a real impact by shaping the future of AI in workplaces worldwide.
- Qualifications: Experience with AI tools and strong communication skills are essential.
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. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next‑generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. 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. Taking clients on this journey often requires significant cultural change and the implementation of new ways of working. We guide our clients through this journey, working with a broad range of business stakeholders to minimise disruptions and to ensure a successful outcome.
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.
Responsibilities
- 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.
Required 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.
Required 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.
Locations: London
AI Infrastructure Architecture Specialist or Associate Manager 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
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills in real-time! If you get the chance, demonstrate your expertise during interviews or networking sessions. It’s all about making an impression!
✨Tip Number 3
Research the company culture before your interview. Knowing their values and how they align with yours can help you stand out as a perfect fit.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you’re serious about joining the team.
We think you need these skills to ace AI Infrastructure Architecture Specialist or Associate Manager
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI and digital workplace tools. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Passion for AI: 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 understanding of AI concepts.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your achievements and how they relate to the responsibilities outlined in the job description.
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!
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. Be ready to discuss specific use cases you've worked on, especially with tools like Microsoft 365 Copilot or Google Workspace AI.
✨Showcase Your Change Management Skills
Since the role involves driving adoption and change management, prepare examples of how you've successfully implemented AI-driven solutions in the past. Highlight your experience with training and user readiness activities.
✨Understand the Business Goals
Familiarise yourself with Accenture's core values and how they align with the role. Be prepared to discuss how your AI strategies can support their business goals and enhance productivity within the workplace.
✨Engage with Stakeholders
Demonstrate your strong communication skills by discussing how you've managed stakeholder relationships in previous roles. Be ready to explain how you would partner with vendors and internal teams to integrate AI capabilities effectively.