Lead Engineer

Overview

In this Lead Engineer role, you will shape technical direction for one or two delivery teams within Grant Thornton’s new digital function, operating in an AI-native environment. You’ll be a hands-on contributor who builds and mentors, aligning engineering work with product goals and senior business goals. You’ll collaborate with product managers and stakeholders, manage technical debt, and elevate engineering standards across the function. This is a chance to drive a multi-hundred-million transformation and help redefine how the firm delivers value to clients.

Pay / Benefits

• flexible working options
• work-life balance
• inclusive culture
• opportunities to contribute to society

Responsibilities

• Set technical direction for your team(s) and own the quality of what is delivered
• Mentor engineers on craft, and develop their judgement about when and how to use AI tooling
• Build and maintain the integrations, MCP builds, API connections and infrastructure that sit beneath and around our GenAI platform
• Build systems, tools and solutions in an AI-native way
• Represent engineering credibly with senior stakeholders, translating between technical design and business need in both directions
• Keep technical debt visible, trade-offs explicit, and delivery pace predictable
• Contribute to our engineering standards and help the wider function improve over time

Key requirements

• You’ve written and shipped production-grade software – most likely in Python, C# .Net, or both (or similar)
• You’re fluent across AI-native engineering, from building natively in the platform, using AI-enabled tools to accelerate your own craft, and taking coalface experiments through to production-grade operationalised solutions
• You’ve owned end-to-end delivery in a team-based model
• You can work directly and credibly with non-technical people at a senior level, and translate technical constraints into business language without losing precision
• AI and LLM experience – you’re comfortable using GenAI tools such as Copilot, Claude or ChatGPT

• Stakeholder communication
• Mentoring and coaching
• Cross-functional collaboration
• Python
• C#/.NET
• AI-native engineering

…