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For Companies At a Glance
- Tasks: Lead and inspire a dynamic engineering team to create innovative AI solutions.
- Company: Join WeBuild-AI, transforming enterprises into AI-powered businesses.
- Benefits: Competitive pay, flexible work, and opportunities for personal and professional growth.
- Why this job: Shape cutting-edge technology strategies and make a real impact in the AI space.
- Qualifications: Experience leading technical teams and expertise in software and cloud technologies.
- Other info: Be part of an energetic culture that values collaboration and innovation.
The predicted salary is between 72000 - 108000 £ per year.
About WeBuild-AI
WeBuild-AI delivers 10x value for enterprise organisations by combining highly skilled experts with industry-aligned language models, agents, and an AI Launchpad. We transform global enterprises into AI-powered, data-driven businesses, reinventing how they design, build, and operate AI-powered software at scale with speed.
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.
Key Responsibilities
- Lead 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 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
- Led high-performing technical teams in consulting or professional services—taking projects from inception to delivery, and beyond.
- Full stack engineering leader with technical depth and outstanding communication skills.
- Thrives working alongside customers and cross-functional teams to co-create solutions that drive business impact.
- Expert in software, product engineering, security standards, and cloud (AWS, Azure).
- Embeds AI—bridging the gap from data to product, with a focus on trust, safety, and scalability.
- Knowledgeable about microservices, APIs, relational and non-relational databases.
- Enthusiastic about collaborating with clients and colleagues, making complex ideas simple and actionable.
- Experience operating at both C-Level and remaining hands-on to ensure direct reports see a real engineering figurehead.
- Excited to lead, inspire, and build diverse teams in a remote-first environment.
- Experience building modern software products using React, NodeJS, HTML, Typescript and Python.
- Experience setting engineering standards for multi-disciplinary teams and integrating CLI development tools using LLMs like Claude Code, 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 that disrupts traditional, tired, and tested consulting approaches.
Head of Engineering in London employer: WeBuild-AI
Contact Detail:
WeBuild-AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Engineering in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at WeBuild-AI. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your engineering prowess, make sure to share them. A well-documented GitHub repo or a personal website can really set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by understanding our tech stack and the latest trends in AI. Brush up on AWS, Azure, and microservices. We want to see that you’re not just a fit for the role but also passionate about what we do at WeBuild-AI.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and being part of our mission.
We think you need these skills to ace Head of Engineering in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Head of Engineering role. Highlight your experience in leading technical teams and delivering AI-powered solutions, as this will show us you understand what we're looking for.
Showcase Your Technical Skills: We want to see your technical depth! Include specific examples of projects where you've used AWS, Azure, or any relevant technologies. This helps us gauge your hands-on experience and how you can contribute to our engineering team.
Emphasise Collaboration: Since we value teamwork, share instances where you've successfully collaborated with clients or cross-functional teams. This will demonstrate your ability to co-create solutions and lead diverse teams effectively.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at WeBuild-AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest technologies relevant to the role, especially AWS, Azure, and AI practices. Brush up on your knowledge of microservices, APIs, and databases, as these will likely come up during technical discussions.
✨Showcase Your Leadership Style
Prepare to discuss your experience leading high-performing teams. Think about specific examples where you inspired your team or drove a project from inception to delivery. Highlight how you foster collaboration and accountability within your teams.
✨Understand Their Business Needs
Research WeBuild-AI and understand their mission to transform enterprises into AI-powered businesses. Be ready to discuss how you can help define technology needs and design solutions that deliver maximum value for their clients.
✨Communicate Clearly and Confidently
Practice explaining complex ideas in simple terms. Since this role involves working closely with customers and cross-functional teams, strong communication skills are essential. Prepare to demonstrate how you can bridge the gap between technical and non-technical stakeholders.
