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- Tasks: Lead and inspire a dynamic engineering team to create innovative AI solutions.
- Company: Join WeBuild-AI, a cutting-edge consultancy transforming enterprises with AI.
- Benefits: Competitive pay, flexible work, and opportunities for personal and professional growth.
- Why this job: Shape the future of technology while making a real impact in diverse industries.
- Qualifications: Proven experience in leading technical teams and full-stack engineering.
- Other info: Be part of an inclusive culture that values collaboration and creativity.
The predicted salary is between 43200 - 72000 ÂŁ 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 employer: WeBuild-AI
Contact Detail:
WeBuild-AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Engineering
✨Tip Number 1
Network like a pro! Reach out to people in your industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and achievements. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by researching the company and its culture. Tailor your responses to align with their values and mission. We want to see how you can contribute to our innovative tech solutions!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at WeBuild-AI.
We think you need these skills to ace Head of Engineering
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for AI and engineering shine through! We want to see how excited you are about transforming businesses with cutting-edge technology.
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience that aligns with our job description. We love seeing how your skills can directly contribute to our mission at WeBuild-AI.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Head of Engineering role.
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 this exciting opportunity.
How to prepare for a job interview at WeBuild-AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest cloud technologies, especially AWS and Azure. Brush up on your knowledge of microservices, APIs, and databases, as these will likely come up during the interview. Being able to discuss specific projects where you've implemented these technologies will show your depth of experience.
✨Showcase Your Leadership Style
As a Head of Engineering, your ability to lead and inspire is crucial. Prepare examples of how you've successfully managed teams, fostered collaboration, and driven innovation. Highlight your approach to mentoring and developing talent within your team, as this aligns with the company’s values.
✨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 solutions that deliver maximum value to their clients. This shows that you’re not just technically skilled but also customer-focused.
✨Prepare for Ethical AI Discussions
Given the emphasis on responsible AI practices, be prepared to discuss your views on ethical AI deployment. Think about how you’ve ensured security and trust in past projects, and be ready to share your thoughts on the importance of these aspects in AI development.
