AI Solutions Engineer - TWE46442 in London

AI Solutions Engineer - TWE46442 in London

London Full-Time 72000 - 88000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build innovative AI applications to enhance team efficiency and data management.
  • Company: Join a leading Private Equity firm focused on cutting-edge AI solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on responsible AI practices and career advancement.
  • Why this job: Be part of a dynamic team creating impactful AI tools that transform business processes.
  • Qualifications: Experience in deploying AI applications and strong skills in Azure and large language models.

The predicted salary is between 72000 - 88000 £ per year.

We are partnering with a leading Private Equity firm seeking an AI Solutions Engineer.

They are building an internal AI capability to improve how specialist teams work with data, documents and business processes.

You will be part of a dedicated innovation team creating practical, secure AI tools for colleagues across multiple offices and practice areas.

What you'll do

As an AI Solutions Engineer, you will design, build and support production-ready AI applications that help internal teams work more effectively.

This is a hands‑on role for a practical builder who can turn business challenges into secure, useful AI solutions.

  • Work with internal teams to identify AI opportunities, define requirements and prioritise projects.
  • Build a shared internal AI platform, including secure access, data connections, monitoring and reusable components.
  • Design and develop AI workflows that coordinate multiple tools, data sources and AI agents.
  • Deliver AI applications for document analysis, interview transcription, candidate assessment, contract review, business monitoring and project tracking.
  • Create document question‑and‑answer tools integrated with internal document systems.
  • Apply strong security, privacy and access‑control practices when working with sensitive business and portfolio data.
  • Provide hands‑on training, create clear documentation and support responsible AI adoption across the organisation.

Key Skills

  • Experience deploying AI applications into production environments.
  • Proven experience building applications using large language models, retrieval‑augmented generation (RAG) and multi‑agent workflows.
  • Experience working with AI model APIs, such as Anthropic or Open AI.
  • Experience with AI workflow or orchestration tools, such as Semantic Kernel, Lang Graph, Auto Gen or similar platforms.
  • Strong Azure experience, including App Services, Functions, Entra ID, AI Services and Cosmos DB.
  • Working knowledge of React and Type Script for internal user interfaces.
  • Ability to gather requirements from non‑technical stakeholders and explain technical options clearly.
  • A practical, systems‑focused approach to solving problems and delivering useful products.
  • Strong awareness of data privacy, security and responsible AI practices.
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AI Solutions Engineer - TWE46442 in London employer: twentyAI

At twentyAI, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in the vibrant city of London, we offer competitive benefits, opportunities for professional growth, and the chance to work on cutting-edge data solutions that make a real impact in the financial services sector. Join us to be part of a dynamic team where your contributions are valued and your career can flourish.

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Contact Details:

twentyAI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Solutions Engineer - TWE46442 in London

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We think you need these skills to ace AI Solutions Engineer - TWE46442 in London

AI Application Deployment
Large Language Models
Retrieval-Augmented Generation (RAG)
Multi-Agent Workflows
AI Model APIs (e.g., Anthropic, OpenAI)
AI Workflow Orchestration Tools (e.g., Semantic Kernel, LangGraph, AutoGen)
Azure App Services

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