AI Solutions Engineer - TWE46442

twentyAI; Greater London; On-site; GBP 80,000 - 110,000; Full time

Job summary

twentyAI is partnering with a leading Private Equity firm to build an internal AI capability that helps specialist teams work with data, documents and processes. You will design, build and support production-ready AI applications in a hands-on role, turning business challenges into secure, practical AI solutions.

The team focuses on secure access, data connections, monitoring and reusable components, delivering workflows that coordinate multiple tools and data sources.

Qualifications

• 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 OpenAI.
• Experience with AI workflow or orchestration tools, such as Semantic Kernel, LangGraph, AutoGen or similar platforms.
• Strong Azure experience, including App Services, Functions, Entra ID, AI Services and Cosmos DB.
• Working knowledge of React and TypeScript 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.

Responsibilities

• Design, build and support production-ready AI applications that help internal teams work more effectively.
• Turn business challenges into secure, useful AI solutions.
• Identify AI opportunities, define requirements and prioritise projects.
• Build a shared internal AI platform with secure access, data connections, monitoring and reusable components.
• Design and develop AI workflows coordinating multiple tools, data sources and AI agents.
• Deliver AI applications for document analysis, transcription, candidate assessment, contract review, monitoring and project tracking.
• Create document Q&A tools integrated with internal document systems.
• Apply strong security, privacy and access-control practices when working with sensitive data.
• Provide hands-on training and clear documentation to support responsible AI adoption across the organisation.

Skills

AI production deployments

LLM & RAG

AI model APIs

AI orchestration tools

Azure stack

React/TypeScript

requirements gathering

secure AI practices

Tools

Semantic Kernel

LangGraph

AutoGen

OpenAI API

Job description

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 OpenAI.
• Experience with AI workflow or orchestration tools, such as Semantic Kernel, LangGraph, AutoGen or similar platforms.
• Strong Azure experience, including App Services, Functions, Entra ID, AI Services and Cosmos DB.
• Working knowledge of React and TypeScript 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.