Lead Engineer​/Tech Lead

Requirements

• Engineering depth. You've written and shipped production-grade software – most likely in Python, C# .Net, or both (or similar). You think in systems, hold the line on fundamentals, and know what AI tooling is doing under the hood
• AI-native judgement. 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 ope rationalised solutions
• Delivery credibility. You've owned end‑to‑end delivery in a team‑based model. You surface problems early, bring options, and keep stakeholders informed without being managed
• Stakeholder presence. You can work directly and credibly with non‑technical people at a senior level, and translate technical constraints into business language without losing precision
• (Desirable) AI and LLM experience - you're comfortable using GenAI tools such as Copilot, Claude or ChatGPT

• Grant Thornton is building a new digital function at the heart of a £500m transformation of how the firm works and delivers for clients. We're hiring Lead Engineers to be the senior technical voice in our delivery teams – hands‑on engineers who can work confidently in an AI‑native environment, solving problems natively in the platform or through AI‑enabled engineering from prototyping through to deployment
• We’re happy to talk flexible working and consider reduced hours and job shares, we’ll support you to balance your work and life
• As a Lead Engineer within our team, you'll own technical direction and delivery quality across one or two small teams, working directly alongside product managers and senior business stakeholders. You'll be a hands‑on individual contributor, building solutions while mentoring the engineers around you, setting the standard for how problems get solved, and being accountable for what gets shipped
• You'll work in a matrix, being embedded in a service line for day‑to‑day delivery and connected to a wider engineering function for craft, standards and career
• 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