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Orbis Group

Principal AI Architect | Investment Manager

London
£180k – £220k/yr
Posted about 12 hours ago
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Principal Enterprise AI Architect | London | Hybrid (2 days per week) | £220,000 + Bonus

I'm working with a global investment management firm undergoing a major enterprise AI transformation.

AI is already embedded across the business, with multiple GenAI applications, AI agents and internal AI platforms in production. The next phase is scaling AI across the organisation by establishing the architecture, standards and governance that engineering teams will build against.

This is one of the firm's most senior individual contributor architecture roles, reporting directly to the Group Head of Enterprise Architecture.

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

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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Strong

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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The Role

  • Defining the enterprise AI architecture and long-term platform strategy.
  • Establishing AI standards, reference architectures and governance frameworks.
  • Creating reusable AI capabilities and architectural patterns adopted across multiple engineering teams.
  • Influencing AI adoption across investment, engineering and corporate functions.
  • Evaluating emerging AI technologies and making strategic platform decisions.
  • Remaining technically credible through architecture reviews, prototyping and technical leadership where required.

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What you need

  • A strong background in Enterprise AI Architecture within a large, complex organisation.
  • Progressed through Machine Learning, Data Science or AI Engineering into architecture and technical leadership.
  • Experience defining AI platform strategy, governance, standards and reference architectures.
  • Delivered production AI solutions using technologies such as LLMs, Agentic AI, RAG and modern AI platforms.
  • Experience working within large financial institutions, investment management, investment banking or other highly regulated environments.
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Skills

Enterprise AI Architecture
Machine Learning
Data Science
AI Engineering
AI Platform Strategy
Governance
Standards
Reference Architectures
Production AI Solutions
LLMs
Agentic AI
RAG
Financial Institutions
Investment Management
Investment Banking
Regulated Environments

Location

London, England, United Kingdom

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