Dartmouth Partners
Principal AI Engineer

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Principal AI Engineer/Architect - Fund Enablement
Outside IR35 - Initial 6 Month Contract - c.£1000 p/d
London - Hybrid
A leading mid-large cap private equity investor is building out its AI capability and is seeking a senior, hands-on technical leader to help scale delivery across the business and its portfolio.
This is a unique opportunity for someone who enjoys operating at the intersection of AI, engineering, and business transformation. You'll work directly with senior stakeholders to identify opportunities, architect solutions, and lead the deployment of production-grade AI applications.
This is not a pure strategy role. We're looking for someone who can architect, build, and lead.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Responsibilities
- Design and own AI solution architectures from concept through to production.
- Build and deploy AI applications, agents, and workflow automation solutions.
- Work closely with business stakeholders to translate opportunities into practical use cases.
- Drive engineering standards, code quality, and architectural consistency.
- Coach and support junior engineers, helping move solutions from prototype to production.
- Act as the day-to-day technical lead across a growing AI function.
Requirements
- Strong software engineering background with recent hands-on AI delivery experience.
- Experience designing and deploying production-grade AI solutions.
- Ability to engage effectively with both technical and non-technical stakeholders.
- Proven experience mentoring engineers and leading delivery teams.
- Comfortable operating in fast-paced, high-accountability environments.


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Essential
- Previous private equity experience is required.
- Candidates should have experience working within a PE firm, operating team, value creation function, or supporting PE-backed businesses, with a strong understanding of how technology initiatives drive commercial outcomes.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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