Senior Engineer

Grant Thornton UK; Manchester; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Flexible hours

Job shares

Job summary

Grant Thornton UK is seeking a Senior Engineer – Generative AI Platform to join the GenAI initiative. The role focuses on building and operating platform-based, production-ready solutions for client value.

Based in the North of England, the position emphasizes hands-on delivery and architectural design. You will own end-to-end delivery, develop backend services, and apply engineering judgment to balance native platform work with bespoke engineering.

Qualifications

• Proven experience delivering software in a team-based model.
• Strong backend and integration skills using Python or C# .NET.
• Judgement to choose native platform solutions vs bespoke engineering.
• Familiarity with Azure and Microsoft 365; experience with LLM integration patterns is a plus.
• Comfortable using GenAI tools such as Copilot, Claude or ChatGPT.

Responsibilities

• Own end-to-end delivery from business need to production-ready solution.
• Develop and maintain backend services, API integrations, MCP server builds and data connections.
• Decide when to solve natively within the platform versus external engineering.
• Design architecture, data flow and integrations for scalability and performance.
• Use AI tooling to accelerate coding and operationalise solutions.

Skills

Python

C# .NET

Backend engineering

API integrations

GenAI tooling

Tools

Azure

MCP tooling

Copilot / GenAI tools

Job description

Job Overview

Senior Engineer – Generative AI Platform
Based in the North of England, this hands‑on individual contributor role focuses on building and operating solutions within Grant Thornton's GenAI platform to deliver measurable value to clients.

Responsibilities

• Own end‑to‑end delivery, translating business needs into technical design and building production‑ready solutions.
• Develop and maintain backend services, API integrations, MCP server builds and data connections.
• Apply engineering judgment to decide when to solve natively within the platform versus bespoke external engineering.
• Design architecture, data flow and integrations, ensuring scalability and performance.
• Use AI tooling to accelerate coding and operationalise solutions.

Qualifications

• Proven experience owning delivery in a team‑based model, with a track record of shipping production software.
• Strong backend and integration engineering skills using Python or C# .NET.
• Judgement in choosing native platform solutions versus custom engineering.
• Familiarity with Azure and Microsoft 365; experience with LLM integration patterns, MCP tooling and AI‑enabled development environments is an advantage.
• Comfortable using GenAI tools such as Copilot, Claude or ChatGPT.

Benefits

Flexible working arrangements including reduced hours and job shares are considered to support work‑life balance.