Applied AI Manager / Senior Manager

Find.; Greater London; Hybrid; GBP 60,000 - 100,000; Full time

Benefits offered by this job

Annual bonus

Flexible office time

London-based role

Travel opportunities

Job summary

FIND is hiring an Applied AI Manager/Senior Manager in London with flexible hybrid attendance. The role combines hands-on AI build work with clear business storytelling for fund leadership. Expect direct exposure to ExCo and PE partners, working across two client-facing domains to scale AI solutions.

You will train fund groups and design AI infrastructures that endure beyond your tenure, operating in a fast‑paced, global client base with a flat, hands-on leadership style.

Qualifications

• Hands-on enterprise AI development experience.
• Ability to explain technical work to executives.
• Experience with AI infrastructure, security and reliability at scale.
• Familiarity with cloud platforms (Azure/AWS/GCP).
• PE or portfolio company exposure is a plus.

Responsibilities

• Deliver in-person AI training for PE funds and lead client sessions.
• Build scalable AI solutions for portfolio use cases and integrations.
• Present results and strategic value to fund leadership and ExCo.

Skills

Enterprise AI solutions

Azure

Anthropic stack

Executive communication

Build-first approach

Tools

Azure

AWS

GCP

Anthropic

Job description

Applied AI Manager / Senior Manager

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

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.

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