At a Glance
- Tasks: Transform AI potential into everyday solutions for enterprise customers.
- Company: Join an early-stage AI business with a focus on innovation.
- Benefits: Direct access to founders, ownership of projects, and team-building opportunities.
- Other info: Dynamic role with opportunities for personal and professional growth.
- Why this job: Shape the future of AI deployment and make a real impact.
- Qualifications: 2-6 years in strategy consulting or tech startup deployment.
The predicted salary is between 45000 - 55000 £ per year.
Five days in the office, with regular UK client travel
Can you turn AI potential into something people use every day?
I’m partnering with an early-stage AI business looking for someone to take enterprise customers from initial discovery through to successful deployment and adoption.
You’ll work directly with the founders, spend time inside customer organisations and take ownership of getting the product working for their teams.
It’s an opportunity to shape how a growing AI business delivers for its customers, with scope to build the team and lead the function.
- What you’ll do
- Understand customer workflows and identify where AI can make a meaningful difference.
- Turn complex requirements into clear deployment plans.
- Configure AI workflows and manage implementations through testing, launch and adoption.
- Build relationships with users, senior sponsors and compliance teams.
- Bring customer insights into product development.
- Create repeatable delivery processes as the business grows.
- Your background
- You’ll bring
2–6 years’ experience in one of the following
- Strategy consulting at
- Mc Kinsey, BCG or Bain
- Deployment strategy or implementation at a
- Series A–D technology startup
Alongside this, we’re looking for
- A strong academic background from a leading university.
- Confident, practical use of
Claude and other AI tools to build, research and solve problems.
- A track record of getting software implemented and adopted within large organisations.
- The ability to manage senior stakeholders, win over sceptical users and represent the product on customer sites.
- Initiative, sound judgement and the ability to make progress without an established playbook.
A science, engineering or maths degree, or experience delivering a startup’s earliest customer deployments, would be particularly valuable.
Why consider it?
Direct access to the founders, ownership of customer delivery and the opportunity to influence both the product and the team around you.
AI Deployment Strategist in London employer: MBN Solutions
Join a pioneering Enterprise AI company in London that values innovation and direct customer engagement. With a strong focus on employee growth, you will have the opportunity to work closely with enterprise clients, tackling real-world challenges while developing cutting-edge solutions. The collaborative work culture encourages creativity and offers meaningful equity, making it an exceptional place for engineers eager to make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Strategist in London
✨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 MBN Solutions 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
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to MBN Solutions.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like MBN Solutions.
✨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 MBN Solutions 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 Deployment Strategist in London
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 MBN Solutions.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at MBN Solutions 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 MBN Solutions
✨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 MBN Solutions 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.
