Lead Engineer, AI Platforms

Winston Fox; Greater London; Hybrid; GBP 120,000 - 190,000; Full time

Benefits offered by this job

Outstanding benefits package

4 days onsite / 1 day remote

Relocation and visa sponsorship

Job summary

Winston Fox in London seeks a Lead AI Engineer / Technical Lead to shape and deliver an enterprise AI platform for a world-class hedge fund. You will lead architecture, build scalable AI systems, and drive innovation in LLMs, agents, and orchestration while collaborating with PMs and researchers.

You will influence engineering standards, push technological boundaries, and deliver measurable business value. The role blends leadership with hands-on engineering and requires strong delivery across

Qualifications

• Experience designing and building large-scale distributed production AI platforms.
• Deep expertise across LLMs, AI agents, retrieval systems and model orchestration.
• Ability to influence architecture and engineering standards across teams.

Responsibilities

• Architect and build enterprise-scale AI platforms and production applications.
• Design multi-agent systems, orchestration frameworks, and reusable AI capabilities.
• Partner with teams to identify opportunities where AI improves research, analysis and decision-making.
• Provide technical leadership across complex AI initiatives and platform evolution.
• Improve observability and production operations for AI platforms.

Skills

Large-scale distributed AI platforms

LLMs & AI agents

Model orchestration

Autonomous workflows

Production-grade platforms

Tools

Python

C#

Scala

Java

Go

LangChain

LlamaIndex

Claude Code

Aider

MLflow

SQL

Pandas

Polars

Snowflake

Docker

Kubernetes

Helm

Flux

Airflow

Dagster

DBT

Job description

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.

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.

This is not an AI Research or Scientist position.

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

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

• Outstanding benefits package
• 4 days onsite / 1 day remote
• Relocation and visa sponsorship available for exceptional candidates with directly relevant experience