At a Glance
- Tasks: Build hands-on AI solutions and present them to fund leadership teams.
- Company: Fast-growing consultancy with a flat, agile AI team.
- Benefits: Competitive salary, annual bonus, flexible office attendance, and travel opportunities.
- Other info: No bench time, no grunt work, just real ownership of projects.
- Why this job: Directly impact private equity funds and grow your career in a dynamic environment.
- Qualifications: Experience in building enterprise AI solutions and comfortable presenting to executives.
The predicted salary is between 60000 - 100000 £ per year.
London – flexible office attendance
£60,000-£100,000 base salary + bonus
FIND have partnered with a fast-growing, PE-backed consultancy working with private equity funds and their portfolio companies across the globe. They're looking for someone who can build AI solutions hands-on and then walk a fund's leadership team through what they've built.
Our client's applied AI team is small and flat, and it's led by a director who still builds and trains himself. From day one you get direct access to fund leadership and real ownership of what you deliver.
The business
- PE-backed itself, so you'll see how companies are bought, sold and grown from the inside, as well as through client work
- Small, flat AI team led by a director who still builds and runs training himself
- Agile ways of working, without the heavy process, documentation and JIRA layers of the big consultancies
- Global client base
The role
The work splits across two sides:
- Fund side: in-person AI training for groups of 20 to 30 people within PE funds, on platforms like Anthropic and workflow automation. You then support them as use cases come through, which often grows into building infrastructure or chaining use cases together.
- Portfolio side: taking a business process that needs fixing and building the AI solution for it. It has to scale and keep running long after you've left.
Projects run 4 to 6 weeks. After discovery it's usually just you and the director, so you own both the build and the client presentation. There's no bench time and no grunt work.
What we're looking for
- Senior Consultant/Manager level in a consultancy
- First-hand experience building enterprise AI solutions, and an understanding of infrastructure, security and reliability at scale
- Azure from a code and infrastructure angle, ideally with AWS or GCP too. Anthropic stack experience is a bonus
- Comfortable in front of an ExCo or PE partners, explaining technical work in plain business terms
- Happy to build yourself rather than just manage a team
- PE experience helps, but strong technical credibility counts just as much
- You could be a technical person who wants to move into client-facing work, or a consultant with some proper build war wounds. If most of your AI work has been no-code tools or demos, this one probably isn't for you.
Package
- £60k to £100k base
- Annual bonus from a team pool tied to growth (they hit this year's target early)
- No individual sales target
- London based, with flexible office time
- Some travel, depending on projects and how much you want
If you've put something into production and you're happy explaining it to a room of fund partners, please get in touch for more information.
Applied AI Manager / Senior Manager employer: Find Recruitment Group LTD
As a leading training provider in Dunstable, we pride ourselves on fostering a supportive and dynamic work culture that prioritises employee growth and development. Our Multi-Skills Construction Trainer role offers a unique opportunity to transition from site work to teaching, with competitive salary packages and support for obtaining teaching qualifications, all while making a meaningful impact on the next generation of tradespeople.
Contact Details:
Find Recruitment Group LTD Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Manager / Senior Manager
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We think you need these skills to ace Applied AI Manager / Senior 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 Find Recruitment Group LTD.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Find Recruitment Group LTD 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 Find Recruitment Group LTD
✨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 Find Recruitment Group LTD 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.
