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Head of Engineering

WeBuild-AI
Full-time
On-site
London, England, United Kingdom
Director
About WeBuild-AI:
WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI-powered software at scale with speed.
Our Purpose:
We're on a mission to reinvent what's possible with AI in enterprise environments. But building a category-defining company requires more than great technology—it demands exceptional storytelling, brand building, and community engagement. As our Marketing Lead, you'll be the creative force behind how the world sees and experiences WeBuild-AI.
Role Overview:
Lead and inspire our fast-growing engineering organisation. Collaborate directly with customers and project teams to define innovative technology solutions, ensuring every engagement delivers secure, robust, and trustworthy AI-assisted products.


Requirements

Key Responsibilities:
Lead on the technical aspects necessary to continuously evolve our internal AI systems/platform to support world class predictive business operations
Architect, build, and deploy scalable, AI-powered and data driven digital products on AWS and Azure for diverse industries.
Partner with our customers from day one: help define their technology needs and design solutions that deliver maximum value.
Oversee technology delivery and customer engagements, setting the highest standards for product excellence, security, and responsible AI practices.
Lead and grow a talented, multi-disciplinary engineering team, blending software, data, platform, and AI skills.
Foster a culture of collaboration, accountability, and continuous learning.
Define and refine engineering best practices—including code quality, DevOps, testing, documentation, and rigorous security measures fuelled using agents and model context protocol capabilities.
Implement microservices architectures and manage robust relational and non-relational databases.
Ensure our AI features leverage Retrieval-Augmented Generation (RAG), Model Context Protocol, and other leading-edge techniques—with a strong focus on safe and ethical deployment.
Stay current with the latest in cloud, platform, data & AI engineering practices to shape our evolving standards and solutions.


Required Skills & Experience:
You've led high-performing technical teams in consulting or professional services—taking projects from inception to delivery, and beyond.
You're a true full stack engineering leader—with technical depth and outstanding communication skills.
You thrive working alongside customers and cross-functional teams to co-create solutions that drive business impact.
You're an expert in software, product engineering, security standards, and cloud (AWS, Azure).
You understand what it takes to embed AI—bridging the gap from data to product, with a focus on trust, safety, and scalability.
You know your way around microservices, APIs, relational and non-relational databases.
You're energised by collaborating with clients and colleagues alike, making complex ideas simple and actionable.
Proven experience of being able to operate at both C-Level and still remain with your fingers on the keys to ensure that your direct reports see you as a real engineering figurehead.
You're excited to lead, inspire, and build diverse teams in a remote-first environment.
Experience with building modern software products using React, NodeJS, HTML, Typescript and Python.
Experience of setting engineering standards for multi-disciplinary teams and integrating CLI development tools using LLM's like Claude Code and embedding DevOps tooling into AI chat experiences with software like Miro, Jira, Slack and GitHub.


What's in it for you:
A chance to shape WeBuild-AI's technology strategy from the ground up.
Direct influence over technology solutions for a broad range of business challenges.
An energetic and inclusive culture where your ideas drive real impact.
Room to grow—professionally and personally—with team members who love what they do.
Competitive compensation, benefits, and flexible working arrangements.
Build a next generation AI native consultancy who are seeking to disrupt the status quo when it comes to traditional, tired and tested consulting approaches.