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- Tasks: Lead AI strategies and transform workplace environments with innovative technology solutions.
- 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 a focus on inclusion and continuous learning.
- Why this job: Make a real impact by driving AI adoption and enhancing productivity across industries.
- Qualifications: Experience in AI/ML concepts 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.
As a Workplace AI enablement Specialist / 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.
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 employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infrastructure Architecture Specialist
✨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
Prepare for interviews by researching the company culture and values. Accenture loves innovation and inclusion, so show how you fit into that vibe!
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills in AI and digital employee experience can make a real impact. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Let's get you that job!
We think you need these skills to ace AI Infrastructure Architecture Specialist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Infrastructure Architecture Specialist role. Highlight your relevant experience with AI, cloud technologies, and any specific projects that align with what Accenture is looking for.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use examples from your past work to show how you've successfully implemented AI solutions or led change management initiatives. This will help us see your potential impact at Accenture.
Be Authentic: Let your personality shine through in your application. We value inclusion and diversity, so don’t hesitate to share your unique perspective and experiences. It’s all about finding the right fit for both you and us!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining our team at Accenture.
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 AI tools like Microsoft 365 Copilot or Google Workspace AI, and think about how you've used them in past roles.
✨Showcase Your Change Management Skills
Accenture values change management, so prepare examples of how you've successfully driven adoption of new technologies. Highlight any training or communication strategies you've implemented to ensure user readiness and minimise disruption.
✨Understand the Business Impact
Be prepared to discuss how AI can drive productivity and improve employee experience. Think about specific use cases you've worked on and be ready to articulate the ROI and benefits of those initiatives.
✨Engage with Stakeholders
Demonstrate your strong stakeholder management skills by preparing to talk about how you've collaborated with various teams. Share examples of workshops or discovery sessions you've led, and how you shaped a vision or roadmap for AI integration.