AI Integration Lead

United States Digital Space LLC; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

United States Digital Space LLC in Greater London is seeking a role within the Front Office AI Technology Team to enable and integrate AI capabilities across the business. The team builds enterprise-grade AI capabilities, including LLM-powered apps, RAG systems, and scalable internal AI tooling, while ensuring reliability and security within risk frameworks.

The role focuses on guiding practical AI adoption, running training on prompt engineering, and embedding Copilot, ChatGPT and Claude into

Qualifications

Responsibilities

• Act as a go-to point of contact for teams who want to understand what AI tools are available and how to use them effectively.
• Run workshops, demos, and hands-on sessions that help users understand the benefit of using LLMs and emerging AI related technologies both for business users and more technical teams.
• Support day-to-day adoption of Microsoft Copilot, ChatGPT and Claude alongside other approved AI tools by embedding them into real workflows.

Job description

Department overview:

The Front Office AI Technology Team sits within the Front Office Technology department and provides a shared capability for the development, operation, and adoption of AI across the firm. The team is responsible for building and supporting enterprise‑grade AI capabilities, including LLM‑powered applications, retrieval‑augmented generation (RAG) systems, agent‑assisted workflows, and scalable internal AI tooling.

We develop the core AI foundations required to deploy AI safely and at scale, while also working closely with the business to ensure these capabilities are used effectively in day‑to‑day workflows. This includes supporting experimentation, guiding practical adoption, and helping teams embed AI into real processes where it delivers measurable benefit.

A key focus of The Front Office AI Technology Team is ensuring that AI solutions are reliable, secure, and aligned with the firm’s control and risk frameworks. The team balances innovation with discipline, providing common tooling, patterns, and guidance that allow AI to be used consistently and responsibly across research and operational contexts.

Role overview:Key Responsibilities:AI Enablement & Integration

• Act as a go‑to point of contact for teams who want to understand what AI tools are available and how to use them effectively.

• Run workshops, demos, and hands‑on sessions that help users understand the benefit of using LLMs and emerging AI related technologies both for business users and more technical teams.

• Support day‑to‑day adoption of Microsoft Copilot, ChatGPT and Claude alongside other approved AI tools by embedding them into real workflows.

Training & Best Practice

• Deliver practical training on prompt engineering, AI limitations, and good usage patterns for both technical and non‑technical audiences.

• Create and maintain reusable materials such as prompt examples/libraries, walkthroughs, and short guidance notes.

• Continuously refine training content based on user feedback and emerging best practice.

Understanding Business Processes

• Spend time with teams to understand their existing processes, pain points, and where work is slow, repetitive, or manual.

• Help teams articulate problems clearly enough that AI tooling can be applied sens