Winston Fox
Lead Engineer, AI Platforms

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About the Role
We are looking to hire a prolific Lead AI Engineer / Technical Lead for an equally prolific AI Platform team (ranked in the UK top 10). We are looking for a World-Class Engineer and Thought-Leader to help this already successful team push the boundaries and drive the future vision of their AI Platform. The hiring budget for this position is naturally very significant to attract a Lead Engineer of this calibre.
Help define the future of AI in investment management.
This is an opportunity to join one of the world's most technologically advanced hedge funds as it builds the next generation of AI capabilities across its global investment platform. The firm has invested heavily in AI, modern infrastructure and engineering excellence, and is now looking for an exceptional engineer to help push the boundaries of what is possible with LLMs, multi-agent systems, AI orchestration and autonomous workflows in a production investment environment.
This isn't about building another internal chatbot.
You'll work directly with Portfolio Managers, Quant Researchers and senior technologists to design and deliver sophisticated AI systems capable of reasoning, collaborating and automating complex investment workflows. From intelligent research assistants and agentic development platforms to multi-agent decision-support systems and autonomous operational tooling, you'll help define how AI transforms one of the world's leading investment managers.
You'll be expected to challenge conventional thinking, experiment with emerging technologies, and build production-grade platforms that deliver measurable business value.
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.
The Role
- Architect and build enterprise-scale AI platforms, agentic workflows and production AI applications.
- Design and implement sophisticated multi-agent systems, orchestration frameworks and reusable AI capabilities.
- Partner with various teams to identify opportunities where AI can fundamentally improve research, analysis and decision-making.
- Provide technical leadership across complex AI initiatives, influencing architecture, engineering standards and platform evolution.
- Continuously improve the firm's shared AI platform, frameworks, tooling and developer experience.
- Evaluate emerging technologies and rapidly productionise those capable of creating genuine competitive advantage.
- Help establish best practices for observability and production operations.
Note: This is not an AI Research or Scientist position.
Requirements
We're looking for engineers who
- Have experience designing and building large-scale distributed production AI platforms. Sophisticated AI, not basic RAG etc
- Have designed and built systems with measurable commercial impact.
- Possess deep expertise across LLMs, AI agents, retrieval systems, model orchestration and modern GenAI architectures.
- Enjoy solving extremely difficult engineering problems and continuously learning new technologies.
- Think like platform engineers, building reusable capabilities that enable others to innovate faster.
- Are passionate about automation, engineering excellence and pushing technical boundaries.
- Can confidently influence senior engineers, technology leaders and business stakeholders


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Technology
You'll work across a modern AI engineering stack including:
- Python, C#, Scala, Java or Go
- LangChain, LlamaIndex, Claude Code, Aider and emerging agentic AI frameworks
- MLflow and model evaluation tooling
- SQL, Pandas, Polars, Snowflake and Vector Databases
- Docker, Kubernetes, Helm and Flux
- Airflow, Dagster and DBT
Why Join?
Very few engineering roles offer the opportunity to shape AI and directly impact a large investment firm's output at this level.
Here, you'll work with truly exceptional and passionate engineers and investment professionals who view AI as a core business fundamental—not an experiment. You'll help build the platforms, frameworks and AI ecosystems that will underpin the next generation of investing, research and operational intelligence.
If you're excited by solving problems that haven't been solved before, building AI systems at enterprise scale, and pushing the boundaries of technology in investment management, we'd love to hear from you.
Package
- £500k-£800k+ PA
- Outstanding benefits package
- 4 days onsite / 1 day remote
- Relocation and visa sponsorship available for exceptional candidates with directly relevant experience
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