AI Infrastructure Architecture Specialist or Associate Manager in London
AI Infrastructure Architecture Specialist or Associate Manager

AI Infrastructure Architecture Specialist or Associate Manager in London

London Full-Time 60000 - 80000 £ / year (est.) No home office possible
WeAreTechWomen

At a Glance

  • Tasks: Lead AI strategies and programmes to transform workplaces with innovative technology.
  • Company: Join a forward-thinking tech company dedicated to AI solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic team environment with endless learning and career advancement opportunities.
  • Why this job: Make a real impact by shaping the future of AI in diverse industries.
  • 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).

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 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, and 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.

Qualification

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.

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

AI Infrastructure Architecture Specialist or Associate Manager in London employer: WeAreTechWomen

Accenture is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London, offering competitive salaries and comprehensive benefits. Employees are encouraged to grow their skills through hands-on experience with cutting-edge AI technologies while collaborating with diverse teams to drive meaningful change across various industries. With a strong commitment to professional development and a focus on responsible AI practices, Accenture provides a unique opportunity for individuals looking to make a significant impact in the tech landscape.
WeAreTechWomen

Contact Detail:

WeAreTechWomen 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 the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio or a personal project that highlights your AI expertise. This is a great way to demonstrate your capabilities beyond just a CV and can really make you stand out.

✨Tip Number 3

Prepare for interviews by practising common questions and scenarios related to AI infrastructure. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.

✨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. Plus, it shows you’re genuinely interested in joining our team.

We think you need these skills to ace AI Infrastructure Architecture Specialist or Associate Manager in London

Workplace AI Strategy Development
AI Enablement Programmes
Microsoft 365 Copilot
Google Workspace AI
ServiceNow AI
AI Use Case Design and Implementation
Change Management
Governance Frameworks for AI
Stakeholder Management
Digital Employee Experience (DEX) Platforms
AI/ML Concepts Deployment
Analytical Mindset
Communication and Presentation Skills
ITSM Platforms Experience
Proficiency in AI-Powered Workplace Tools

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 Communication Skills: Since this role involves a lot of stakeholder management and presentations, it’s crucial to demonstrate your communication prowess. Use clear, concise language in your application to reflect your ability to convey complex ideas simply.

Highlight Relevant Experience: Focus on your hands-on experience with AI/ML concepts and any change management programmes you've led. We’re keen to see how you’ve driven AI initiatives in past roles, so be specific about your contributions and outcomes.

Apply Through Our Website: We encourage you to submit your application through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands!

How to prepare for a job interview at WeAreTechWomen

✨Know Your AI Stuff

Make sure you brush up on your knowledge of AI concepts and tools relevant to the role. Familiarise yourself with Microsoft 365 Copilot, Google Workspace AI, and other platforms mentioned in the job description. Being able to discuss how these technologies can enhance workplace productivity will definitely impress.

✨Showcase Your Change Management Skills

Prepare examples of how you've successfully led change management initiatives in the past. Highlight your experience with training and user readiness activities, especially in relation to AI adoption. This will demonstrate your ability to drive AI enablement programmes effectively.

✨Be Ready to Discuss Real-World Applications

Think about specific use cases where AI has improved productivity or automation in previous roles. Be prepared to share these examples during the interview, as they will show your practical understanding of AI's impact in various industries.

✨Engage with Questions

Prepare thoughtful questions about the company's AI strategy and how they envision the role contributing to their goals. This shows your genuine interest in the position and helps you assess if the company aligns with your career aspirations.

AI Infrastructure Architecture Specialist or Associate Manager in London
WeAreTechWomen
Location: London

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