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- Tasks: Lead and build AI engineering for transformative healthcare solutions.
- Company: Fast-growing European HealthTech scale-up revolutionising patient care.
- Benefits: Competitive salary, remote work, flexible hours, and significant ownership.
- Other info: Join at a pivotal stage with excellent growth opportunities.
- Why this job: Make a real impact on healthcare with cutting-edge AI technology.
- Qualifications: Strong AI engineering experience and leadership skills required.
The predicted salary is between 120000 - 140000 ÂŁ per year.
UK (Remote) Salary: ÂŁ120,000-ÂŁ140,000
Build and scale AI at the heart of European healthcare. We’re working with a fast‑growing European HealthTech scale‑up that’s fundamentally changing how healthcare systems manage patient discharge and aftercare. Their platform already supports a significant proportion of hospitals and care providers, and AI is now central to the next phase of their growth.
As Head of AI Engineering, you’ll take ownership of the full AI engineering landscape, from platform and infrastructure through to applied AI and agent‑based systems, while remaining close to the code and the delivery of real products. You’ll join at a formative stage, where architectural decisions made now will directly influence how AI is embedded into healthcare workflows for years to come.
Key elements of the role include:
- Defining and owning the AI engineering architecture across platform, applied AI, and agent orchestration layers
- Building and scaling the AI engineering team, evolving from a hands‑on core into a structured organisation with clear ownership and leadership
- Making high‑impact technical decisions around model selection, infrastructure, and build vs. buy trade‑offs
- Working closely with product and engineering leadership to align AI capabilities with product strategy and delivery
- Remaining hands‑on: writing code, reviewing PRs, and shipping systems, particularly in the early stages
- Establishing standards for AI engineering workflows, including LLM‑assisted development practices
- Ensuring architectural decisions are well‑documented, intentional, and able to evolve with a fast‑moving AI landscape
What they’re looking for:
- This role suits someone who is both technically deep and strategically strong — a true player‑coach who enjoys building from scratch.
- Strong experience in software and AI engineering, with a proven record of designing and running production systems
- Deep, hands‑on expertise in modern LLM‑based systems: prompt and context architecture, agent orchestration, evaluation frameworks, and observability
- A clear understanding of how rapidly model capabilities evolve — and the judgement to adapt architecture as that landscape shifts
- Confidence in making and defending architectural decisions, while constructively challenging assumptions
- Experience hiring, mentoring, and scaling technical teams
- Comfort operating without a fully established structure and motivation to define processes, standards, and direction
- Strong opinions on AI‑native engineering workflows, including how LLMs should support coding, testing, documentation, and review
- Excellent communication skills and confidence working in a remote‑first, international environment
Why consider this role?
- Meaningful impact: Your work will directly improve outcomes for patients, families, and healthcare professionals
- Strategic influence: AI is a core pillar of the company’s future — this is not an R&D side project
- Autonomy and trust: Flat hierarchies, high ownership, and genuine influence over technical direction
- Flexibility: Remote‑friendly setup, flexible working hours, and a culture that supports life outside of work
- Growth journey: The chance to build a leading AI function within one of Europe’s most ambitious HealthTech platforms
Interested? If you’re excited by the idea of building AI systems that ship, scale, and matter, and want to lead AI engineering in a setting where your decisions truly count, we’d love to talk. Apply directly or reach out for a confidential conversation with our AI & Data recruitment team.
Head of AI Engineering employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of AI Engineering
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, contributions to open-source, or any relevant work. This is your chance to demonstrate your hands-on expertise and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've made high-impact decisions in past roles and how you can bring that strategic influence to the table.
✨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 our mission to revolutionise healthcare with AI.
We think you need these skills to ace Head of AI Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of AI Engineering role. Highlight your hands-on experience in AI engineering and any leadership roles you've held, as we want to see how you can make an impact.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for AI in healthcare and how your strategic vision aligns with our mission. Be genuine and let your personality shine through!
Showcase Your Technical Skills: Since this role requires deep technical expertise, don’t shy away from detailing your experience with LLM-based systems and production environments. We want to know about your hands-on coding experience and any architectural decisions you've made.
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 this exciting opportunity. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest trends and technologies in AI, especially LLM-based systems. Brush up on your knowledge of prompt architecture and agent orchestration, as these will likely come up during the interview.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in building and scaling technical teams. Be ready to discuss how you've mentored others and made high-impact decisions in previous roles, as this is crucial for a Head of AI Engineering.
✨Be Hands-On and Practical
Since this role requires a hands-on approach, be prepared to talk about your coding experience and how you’ve contributed to production systems. Share specific instances where you’ve written code or reviewed PRs to demonstrate your technical depth.
✨Communicate Clearly and Confidently
In a remote-first environment, strong communication skills are key. Practice articulating your thoughts clearly and confidently, especially when discussing complex architectural decisions or AI workflows, to show you can thrive in an international setting.