Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of advanced AI platforms and shape intelligent automation systems.
- Company: Join a fast-growing AI company backed by top investors and experts from Apple and Oxford.
- Benefits: Competitive salary, growth opportunities, and a chance to work with cutting-edge technology.
- Other info: Be part of a team that’s redefining intelligent workflows and scaling innovative solutions.
- Why this job: Make a real impact on the future of AI and automation in a dynamic environment.
- Qualifications: Strong experience in software platforms, AI products, and leading engineering teams.
The predicted salary is between 80000 - 120000 £ per year.
Stax is partnering with a venture-backed (Series A) AI company building advanced virtual agents designed to automate complex operational workflows for enterprise organisations. Following recent investment and strong early traction, the company is entering an exciting phase of growth and expanding its engineering team to support the next generation of its platform. Revenue increased by 400% in Q4 2025, and the company is targeting a further 4x increase in revenue as it continues to scale.
The leadership team includes engineers and researchers from organisations such as Apple, Oxford University, and Cambridge University, bringing together deep technical expertise and world-class research backgrounds. Their platform enables organisations to deploy intelligent agents capable of learning, adapting, and executing real operational processes. At the heart of this vision is a platform that allows these agents to be trained, evaluated, and continuously improved as they interact with real-world workflows.
The company is now hiring an AI Engineering Manager (Agentic) to lead the development of this core platform and help define the architecture behind the next generation of intelligent automation systems. This role will report directly to the CTO and lead a team focused on building and scaling the company's agent platform.
The Opportunity
This is a senior technical leadership role focused on shaping the systems that enable intelligent agents to learn, evolve, and operate reliably in production environments. You will work closely with engineering and product leadership to define the technical direction of the platform while leading a team of experienced engineers responsible for building and scaling it. This is an opportunity to play a key role in defining the architecture behind a rapidly evolving AI platform and to help shape the future of intelligent automation.
Technology Environment
The platform sits at the intersection of AI systems, automation, and scalable platform engineering, typically involving technologies such as:
- Large language model–driven systems
- AI-assisted automation and orchestration
- Intelligent workflow systems
- Data pipelines and evaluation frameworks
- Distributed platform architectures
What We're Looking For
Core Experience
- Strong experience building complex software platforms or distributed systems
- Experience working with AI-driven or automation-focused products
- Ability to define and deliver technical vision for a platform or product area
- Experience leading or mentoring senior engineering teams
- A strong systems-thinking and platform engineering mindset
Additional Experience
- Experience in high-growth technology environments
- Exposure to enterprise-scale software systems
- Familiarity with automation, workflow platforms, or AI evaluation approaches
Why This Role Matters
This platform sits at the centre of how the company's technology evolves. Every system built and every workflow automated contributes to improving the intelligence and capability of the platform. Building the right architecture will enable the product to scale efficiently while continuously improving over time. This role offers the opportunity to shape that foundation and have a meaningful impact on the future direction of the technology.
Apply
If you're excited about shaping the architecture behind next-generation AI platforms and tackling complex technical challenges, we'd love to hear from you. Apply directly or reach out to Stax for a confidential conversation. Due to the high volume of applications we receive, we may not be able to respond to every applicant individually. However, we will endeavour to contact candidates whose experience most closely aligns with the requirements of the role.
Head of AI and Engineering employer: Stax - Deep Tech Talent
Contact Detail:
Stax - Deep Tech Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of AI and Engineering
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to the company you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your experience with AI systems or automation, make sure to share them. It’s a great way to demonstrate your capabilities beyond just words.
✨Tip Number 3
Prepare for the interview like it’s the final boss level! Research the company’s tech stack and be ready to discuss how your experience aligns with their goals. Tailor your answers to show you’re the perfect fit for their vision.
✨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 being part of the team.
We think you need these skills to ace Head of AI and Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of Head of AI and Engineering. Highlight your experience in building complex software platforms and leading engineering teams, as these are key to catching our eye.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and automation, and how your vision aligns with our goals. Be specific about what excites you about this opportunity and how you can contribute.
Showcase Relevant Projects: If you've worked on projects involving AI-driven systems or automation, make sure to showcase them. We love seeing real-world applications of your skills, so include links or descriptions that demonstrate your impact and technical expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Stax - Deep Tech Talent
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like large language models and distributed systems. Brush up on your knowledge of AI-driven products and be ready to discuss how you've applied these technologies in past projects.
✨Showcase Your Leadership Skills
As a Head of AI and Engineering, you'll need to demonstrate your ability to lead and mentor teams. Prepare examples of how you've successfully guided engineering teams in high-growth environments and how you’ve defined technical visions for platforms.
✨Understand the Company’s Vision
Research the company’s goals and recent achievements, especially their impressive revenue growth. Be prepared to discuss how your experience aligns with their mission to build intelligent automation systems and how you can contribute to their future success.
✨Prepare for Technical Challenges
Expect to face technical questions or challenges during the interview. Practice explaining complex concepts clearly and concisely, as you may need to articulate your thought process on system architecture and platform engineering to non-technical stakeholders.