At a Glance
- Tasks: Lead AI enablement projects, design training, and create automations to enhance team productivity.
- Company: Join Cloudscaler, a leading consultancy in cloud transformation with a high-performance culture.
- Benefits: Competitive salary, hybrid work model, and opportunities for personal and professional growth.
- Other info: Be part of a diverse team committed to innovation and employee happiness.
- Why this job: Make a real impact by solving genuine problems with AI in a supportive environment.
- Qualifications: Experience in training delivery, strong facilitation skills, and hands-on knowledge of generative AI tools.
The predicted salary is between 90000 - 115000 € per year.
Location: Central London – Hybrid. Onsite requirements can vary from one customer to another, between 1 to 3 days per week.
Full Time, Permanent
Salary: £90,000 - £115,000
SC Clearance Requirements: Due to working with a number of government bodies, SC clearance is required for our customer facing teams. You do not need active SC clearance as we will undertake checks upon you joining, but you must be eligible to pass SC clearance.
Why you should join us: At Cloudscaler, you’ll be part of a consultancy at the forefront of cloud transformation, trusted by government, defence, and enterprise organisations to deliver complex AWS solutions that make a real national impact. From modernising public services to securing critical infrastructure, the work you do will matter far beyond technology. We combine the agility of a startup with the credibility of an AWS Advanced Partner, creating a high-trust, high-performance culture where self-starters thrive and every voice is heard. You’ll work closely with senior leadership and cloud experts, shaping meaningful projects and driving innovation. By joining us, you’ll accelerate your personal and professional development through hands-on experience with cutting-edge cloud solutions. You’ll learn directly from experts while contributing to some of the UK’s most ambitious cloud programmes, gaining exposure and influence you wouldn’t find in a larger consultancy.
The Role: We are hiring a Senior AI Enablement Consultant to deliver our AI enablement function starting internally, then taking it to our customers through our Enterprise AI Fast Start offering. Our philosophy is simple: happy people are productive people, not the other way round. Most AI rollouts fail because they focus on adoption metrics instead of asking people what’s actually wasting their time. We take the opposite approach. We ask people what annoys them, give them an AI tool, and let them fix it. The research backs this up employees with agency over how AI enters their work adopt it faster, stay longer, and deliver better results. In your first six months, you will embed AI across every department at Cloudscaler (~80 people). You will discover what frustrates our teams, design training seeded by real data, and build AI-powered automations that make measurable differences to how people feel about their work. When you move into customer delivery, you will lead 6–10 week Enterprise AI Fast Start engagements for organisations in regulated sectors backed by real internal results, real happiness data, and real stories rather than theoretical frameworks. This is not a strategy role. You will be in the room with real teams, solving real problems, every week.
What You Will Do:
- Discover what wastes people’s time through structured interviews and pulse data then help them fix it with AI.
- Design and deliver AI training tailored to how each team actually works, seeded by real discovery data, not generic “how to prompt” sessions.
- Build department-specific AI automations using Claude, including custom Projects, Skills, and MCP integrations.
- Run the Weekly AI Pulse tracking happiness, confidence, and new automation opportunities across every engagement.
- Create AI playbooks, Skills, Plugins, onboarding content, and training modules for graduates and experienced hires.
- Lead Enterprise AI Fast Start engagements for enterprise customers 6–10 weeks from discovery to handover.
- Manage the MCP Evaluation Pipeline: assessing, governing, and deploying AI integrations with the right security and governance.
- Build champions networks that sustain AI adoption beyond any single engagement.
- Contribute to thought leadership and pre-sales grounded in real delivery experience and real data.
What We Are Looking For: You will have:
- Broad professional experience across multiple business functions, you understand how different teams operate and where the friction is.
- Experience designing and delivering training or enablement to enterprise audiences.
- Strong facilitation skills you are comfortable in front of a room with large groups.
- Hands-on, daily experience with generative AI tools you are the person others ask for help.
- Empathy and the interpersonal skills to understand how people genuinely feel about their work not just what they say in a group setting.
- An instinct for process improvement, you see frustration and immediately think about how to fix it.
- The ability to work autonomously in a new function without an established playbook.
Bonus points for:
- Experience with Anthropic Claude (Teams or Enterprise).
- Familiarity with AWS, particularly Amazon Bedrock.
- Background in business analysis, change management, or L&D.
- Experience in regulated sectors.
- Experience building Skills, Plugins, or reusable AI assets.
Interview Process:
- Screening call with our Talent Acquisition team
- 1st Interview - 30 minute virtual interview with Hiring Manager
- 2nd Interview - 60 minute virtual interview with members of the team
- 3rd Interview - 60 minute in person interview with members of our hiring and Senior Leadership Team
Cloudscaler are proud to be an equal opportunity employer, committed to equal opportunities regardless of gender identity, sexual orientation, race, ancestry, age, marital status, disability, parental status, religion or medical history. If you require reasonable adjustments during the recruitment process or within the workplace, please let us know when you speak to our Talent Acquisition team or contact talent@cloudscaler.com at the earliest opportunity.
Senior AI Enablement Consultant employer: Cloudscaler
At Cloudscaler, we pride ourselves on being a leading consultancy in cloud transformation, where your contributions directly impact national projects and public services. Our hybrid work model in Central London fosters a dynamic and inclusive culture, encouraging personal growth through hands-on experience with cutting-edge AI solutions. Join us to collaborate with industry experts, drive innovation, and enjoy a supportive environment that values employee well-being and agency.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Enablement Consultant
✨Tip Number 1
Get to know the company culture before your interview. Check out their social media, read up on their projects, and understand their values. This will help you tailor your responses and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Practice your storytelling skills! Prepare a few anecdotes that highlight your experience with AI tools and how you've solved real problems in past roles. This will make you stand out and demonstrate your hands-on approach.
✨Tip Number 3
Don’t just focus on your qualifications; show your passion for AI and how it can improve people's work lives. Be ready to discuss how you can help Cloudscaler's teams adopt AI effectively and make their jobs easier.
✨Tip Number 4
Follow up after your interviews! A quick thank-you email can go a long way. Mention something specific from your conversation to remind them of your fit for the role. And remember, apply through our website for the best chance!
We think you need these skills to ace Senior AI Enablement Consultant
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI and training. We want to see how your skills align with the role of Senior AI Enablement Consultant, so don’t hold back on showcasing your relevant achievements!
Show Your Personality:We’re all about a high-trust culture here at Cloudscaler, so let your personality shine through in your application. Share your passion for AI and how you’ve made a difference in previous roles – we love hearing real stories!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s relevant, and make sure your key points stand out!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at Cloudscaler!
How to prepare for a job interview at Cloudscaler
✨Know Your AI Tools
Make sure you’re well-versed in generative AI tools, especially Claude. Be ready to discuss your hands-on experience and how you've used these tools to solve real problems. This will show that you’re not just familiar with the technology but can also apply it effectively.
✨Understand the Company Culture
Cloudscaler values a high-trust, high-performance culture. Familiarise yourself with their philosophy of prioritising employee happiness and productivity. Be prepared to share how you can contribute to this culture and improve team dynamics through AI.
✨Prepare for Structured Interviews
Since the role involves discovering what wastes people’s time, think about how you would conduct structured interviews. Prepare examples of how you’ve previously identified pain points in teams and how you’ve helped them overcome these challenges using AI.
✨Showcase Your Facilitation Skills
You’ll need strong facilitation skills to lead training sessions. Think of past experiences where you’ve successfully engaged large groups. Be ready to demonstrate your ability to communicate complex ideas clearly and inspire others to embrace AI solutions.