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 work culture, and opportunities for continuous learning.
- Other info: Dynamic team environment with excellent career growth potential.
- Why this job: Make a real impact by driving AI adoption and enhancing productivity.
- Qualifications: Experience with AI/ML concepts and strong communication skills required.
The predicted salary is between 63000 - 77000 £ 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. 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.
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.
Qualification
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.
Locations: London
AI Infrastructure Architecture Specialist / Associate Manager employer: WeAreTechWomen
At Accenture, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides unparalleled opportunities for professional growth, with access to cutting-edge AI technologies and the chance to work alongside industry leaders. We are committed to your development, ensuring you have the resources and support needed to thrive in your role as a Senior Manager/Associate Director in AI architecture.
StudySmarter Expert Advice🤫
We think this is how you could land AI Infrastructure Architecture Specialist / Associate Manager
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at WeAreTechWomen or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like WeAreTechWomen that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Infrastructure Architecture Specialist / Associate Manager
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at WeAreTechWomen.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at WeAreTechWomen and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at WeAreTechWomen
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If WeAreTechWomen uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
