At a Glance
- Tasks: Lead AI strategies and implement innovative solutions for workplace productivity.
- Company: Join Accenture, a global leader in professional services and technology.
- Benefits: Competitive salary, career growth, and a focus on inclusion and diversity.
- Other info: Dynamic environment with opportunities to mentor and lead teams.
- Why this job: Shape the future of work with cutting-edge AI technologies and make a real impact.
- Qualifications: Experience in AI/ML, strong communication skills, and a passion for innovation.
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)
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.
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.
We believe in inclusion and diversity and supporting the whole person. Our core values comprise Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity.
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.
Qualifications / 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 and illustrate an established track record of people leadership.
AI Skills: 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 UK & Ireland
Contact Detail:
Accenture UK & Ireland 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 folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your AI expertise. This gives you something tangible to discuss during interviews and makes you stand out.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. The more you practice, the more confident you'll feel when it’s time to shine.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Plus, it shows you’re genuinely interested in being part of our team at StudySmarter.
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 to highlight your experience with AI and digital workplace solutions. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Communication Skills: Since this role involves a lot of stakeholder management, it’s crucial to demonstrate your exceptional communication abilities. Use clear and concise language in your application to reflect how you can convey complex ideas effectively.
Highlight Your Change Management Experience: We’re looking for someone who can drive adoption and manage change. Be sure to include examples of past experiences where you’ve successfully implemented AI initiatives or led change management programmes.
Apply Through Our Website: Don’t forget 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 shows you’re keen on joining our team!
How to prepare for a job interview at Accenture UK & Ireland
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts and tools relevant to the role. Familiarise yourself with platforms like Microsoft 365 Copilot and Google Workspace AI, as well as any recent trends in AI that could impact workplace productivity.
✨Showcase Your Change Management Skills
Since this role involves driving adoption and change management, be prepared to discuss your experience in leading similar initiatives. Share specific examples of how you've successfully implemented AI solutions and managed stakeholder expectations.
✨Prepare for Technical Questions
Expect some technical questions about AI/ML concepts and their application in business contexts. Brush up on your understanding of predictive analytics, chatbots, and automation frameworks, and be ready to explain how these can enhance employee experiences.
✨Demonstrate Strong Communication Skills
This role requires exceptional communication skills, so practice articulating complex technical concepts in a way that's easy to understand. Be ready to showcase your presentation skills, perhaps by preparing a brief pitch on an AI use case you've worked on.