Selby Jennings
Business-Focused AI Enablement Architect

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Our client, a leading global investment firm, is looking for an Applied AI Enablement Architect in London to help embed practical AI capabilities across its fundamental investment teams. You will join a multidisciplinary group of data scientists, analysts and engineers, working directly with portfolio managers, researchers and senior business stakeholders. This is a highly front-office-facing role where you will identify valuable use cases, understand research workflows and translate complex or ambiguous problems into AI solutions that people genuinely adopt.
Responsibilities
- Partner directly with investment teams to understand research workflows, uncover problems and identify high-value opportunities for AI.
- Act as the bridge between business users and technical teams, translating loosely defined requirements into practical solution and platform designs.
- Develop lightweight proofs of concept to test feasibility and demonstrate value before larger build decisions are made.
- Drive adoption through workshops, prompt and tool education, best-practice sharing and hands-on support for users.
- Assess the effectiveness of AI solutions, communicate limitations clearly and feed user insights back into the wider technology roadmap.
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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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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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.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- 3+ years' experience in a client-facing product, solutions engineering, consulting or forward-deployed role, with the maturity to work closely with senior stakeholders.
- Strong understanding of modern AI and LLM tooling, including prompting, model APIs, retrieval-augmented generation, agents and evaluation approaches.
- Working knowledge of Python, SQL, data platforms and solution architecture, with enough technical depth to assess feasibility and guide delivery.
- A demonstrable ability to gather requirements from non-technical users and turn them into solutions that deliver measurable value and adoption.
- A calm, consultative and commercially minded approach, with strong communication skills, sound judgement and comfort operating in ambiguous environments.
- This is an excellent opportunity for someone who enjoys sitting at the intersection of AI, product, data and investment research. You do not need to be a pure software engineer or already work within a hedge fund. The strongest candidates will be technically credible, naturally curious and able to earn the trust of demanding business users without overselling a solution.


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