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For Companies At a Glance
- Tasks: Lead the delivery of innovative AI products and data platforms in a fast-paced environment.
- Company: Join a cutting-edge tech company focused on AI-driven solutions.
- Benefits: Competitive salary of ÂŁ150,000 plus bespoke benefits package.
- Other info: Opportunity to influence engineering strategy and drive innovation.
- Why this job: Shape the future of technology while building impactful AI systems.
- Qualifications: Proven experience in AI, data solutions, and cloud platforms.
The predicted salary is between 108000 - 192000 ÂŁ per year.
We are looking for a hands‑on Head of Engineering to lead the delivery of AI‑driven products and data platforms within a fast‑moving innovation environment. This role sits at the heart of a technology transformation where AI, data and cloud engineering are central to the business strategy. The successful candidate will lead engineering delivery across several innovation initiatives, helping turn ideas into real, production‑grade AI products. This is not a theoretical leadership role. We are looking for someone who has personally built and delivered modern AI, data and cloud solutions, and who leads teams by setting the technical standard and driving execution.
The Role
As Head of Technology, you will be responsible for driving delivery across AI, Data and Cloud engineering initiatives, ensuring teams build scalable, production‑ready solutions. You will lead by example setting the technical bar, driving engineering standards and ensuring solutions are delivered on time, to quality and to budget. This role combines technical leadership, delivery ownership and architectural oversight.
Key Responsibilities
- Lead engineering delivery across AI, Data and cloud‑based product initiatives
- Work closely with architecture, product and engineering teams to turn concepts into production systems
- Drive best practices across cloud engineering, DevOps, data platforms and AI development
- Ensure engineering teams are delivering high‑quality, scalable solutions
- Influence and guide engineering teams on what good looks like technically
- Support the design and delivery of AI‑powered products and agentic AI solutions
- Work across multiple innovation initiatives, incubators and product programmes
- Build credibility with engineering teams by leading from the front technically
- Drive engineering standards across architecture, CI/CD, cloud infrastructure and data pipelines
What We’re Looking For
We are looking for a do’er, someone who has personally delivered complex engineering programmes, not just overseen them. The ideal candidate will come from a consulting, software engineering or architecture background, with experience delivering solutions across multiple organisations or sectors.
- Strong software engineering or solution architecture background
- Proven experience delivering AI and data‑driven solutions in production
- Experience building AI‑powered products or intelligent systems
- Hands‑on experience with modern cloud platforms (GCP, AWS or Azure)
- Strong experience with DevOps practices and engineering delivery
- Experience leading engineering teams delivering complex platforms
- Experience influencing and guiding senior engineering teams
- Strong communication skills – able to translate technical detail into business outcomes
Particularly Valuable Experience
- Experience building agentic AI solutions or AI‑enabled products
- Experience working in consulting or technology services environments
- Building data platforms, machine learning pipelines or AI services
- Experience working in AI, data engineering or modern platform environments
Leadership Style
We are looking for someone who:
- Leads from the front technically
- Is decisive and delivery focused
- Drives teams to deliver at pace and with high standards
- Can challenge engineering teams constructively
- Is comfortable operating in a high‑change innovation environment
This is a role for someone who enjoys building things, solving hard problems and driving delivery, not simply overseeing programmes.
The Opportunity
You will join a business actively building AI‑driven products and platforms, with multiple innovation initiatives already underway. The role sits within a leadership structure focused on delivering next‑generation AI capabilities, with significant scope to shape the engineering organisation and influence the future technology strategy. Salary for this role is £150,000 with a bespoke benefits package, reflecting the seniority and strategic importance of the position. This is an opportunity to play a key role in turning AI ambition into real‑world systems.
Head of Technology and Engineering (AI) in Royal Leamington Spa employer: Searchability
Contact Detail:
Searchability Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Technology and Engineering (AI) in Royal Leamington Spa
✨Tip Number 1
Network like a pro! Get out there and connect with people in the tech and engineering space. Attend meetups, webinars, or industry events where you can chat with potential employers and showcase your passion for AI and cloud solutions.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your hands-on experience with AI products and cloud platforms. Include case studies of projects you've led or contributed to, demonstrating how you’ve turned ideas into production-ready solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership style. Be ready to discuss how you’ve influenced teams and driven engineering standards in previous roles. We want to see your problem-solving skills in action!
✨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 and contributing to our exciting AI-driven initiatives.
We think you need these skills to ace Head of Technology and Engineering (AI) in Royal Leamington Spa
Some tips for your application 🫡
Show Your Hands-On Experience: We want to see that you've been in the trenches, building and delivering AI products yourself. Highlight specific projects where you’ve led engineering teams or developed solutions, as this will show us you’re not just a theoretical leader.
Tailor Your Application: Make sure your application speaks directly to the job description. Use similar language and keywords that we’ve mentioned, especially around AI, data, and cloud engineering. This helps us see how you fit into our vision.
Demonstrate Your Leadership Style: We’re looking for someone who leads from the front. Share examples of how you’ve influenced teams and driven high standards in previous roles. This will help us understand your approach to leadership and delivery.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Searchability
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI, data, and cloud technologies. Be prepared to discuss your hands-on experience with platforms like GCP, AWS, or Azure, and how you've delivered production-ready solutions. This role demands a deep understanding of technical standards, so brush up on your knowledge!
✨Showcase Your Leadership Style
Since this position requires leading from the front, be ready to share examples of how you've influenced engineering teams and driven delivery at pace. Highlight specific instances where you’ve set technical standards and guided teams through complex projects. This will demonstrate your ability to lead effectively.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in high-change environments. Think about past challenges you've faced in delivering AI-driven products and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice explaining complex technical concepts in simple terms, as you’ll need to translate technical details into business outcomes. This will show that you can bridge the gap between engineering and senior leadership effectively.