At a Glance
- Tasks: Lead the development of innovative AI solutions and manage technical partnerships.
- Company: Join Kintiga, a dynamic consultancy shaping healthcare technology across Europe.
- Benefits: Enjoy competitive salary, extensive benefits, and flexible working arrangements.
- Other info: Collaborative culture with opportunities for international exposure and career growth.
- Why this job: Make a real impact in healthcare by architecting cutting-edge AI systems.
- Qualifications: Proficiency in AI technologies and strong software engineering background required.
The predicted salary is between 80000 - 100000 £ per year.
We are Kintiga, a pan-European specialist consultancy that partners with ambitious health technology developers through the complex journey to achieve successful market access across Europe. Our clients in healthcare and life sciences are leading innovators in pharma, biotech, medtech, digital health, and diagnostics. As part of Kintiga, we support the successful launch and reimbursement of breakthrough therapies and technologies. Join our team and help shape the future of cutting-edge healthcare solutions. At Kintiga, we cultivate a collaborative and entrepreneurial culture where every voice matters. We value diversity, openness, and integrity, encouraging our team members to bring their ideas and passion to work every day.
Locations Suitable for Hire:
- UK&I - Remote, with occasional travel to London or Hannover.
- Germany - Remote but Hybrid preferred, Hannover - with occasional travel to London or Hannover.
- Belgium/Netherlands - Remote, with occasional travel to London or Hannover.
- Austria - Remote, with occasional travel to London or Hannover.
We are looking for an experienced Lead AI Engineer to provide hands-on technical leadership across our AI-driven products and platforms. This role combines deep software engineering expertise with practical application of AI/machine learning, and the ability to manage external AI development partnerships and provide technical direction to the wider delivery team and manage other developers. You will set technical direction, design and build production-grade AI solutions, and ensure high standards of security, scalability, and maintainability. You will work closely with product managers, analysts, users, and business stakeholders to turn ideas into reliable and impactful systems.
Responsibilities include:
- Drive the development of cutting-edge AI solutions and bring your unique insights and experience into AI discussions.
- Be a major voice on buy-it vs build-it commercial decision-making and technical feasibility.
- Work with AI Suite Product Owners and the Chief Digital Officer (CDO) to maintain and plan roadmaps for existing and new AI Suite tools.
- Manage our AI solutions, lead the technical partnership with our primary AI development partner, and provide technical direction to the wider contractor and developer network.
- Stay up to date with the latest AI technologies and contribute to in-house R&D.
- Ownership of AI services and projects, ensuring alignment with strategic goals.
- Propose, design and deploy production-grade AI systems including LLM-powered applications, RAG pipelines, and intelligent automation workflows.
- Manage and take ownership of our CI/CD pipelines, automated testing, and cloud.
- Contribute to product roadmap planning and technical feasibility.
Essential Requirements:
- Proficiency in LLMs, Agentic AI, deep learning, NLP, and predictive analytics.
- Strong background in software engineering (e.g. Python, TypeScript or similar) and hands-on experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or equivalent.
- Experience in AI/ML platform technologies and services such as Azure ML/Sagemaker/Vertex, OpenAI, AutoML, OCR, STT, feature stores, vector databases.
- Implementation of AI/ML architectural patterns and best practices.
- Knowledge of database management systems (e.g. SQL, NoSQL) and basic data pipeline concepts.
- Proven experience leading development or engineering teams.
- Experience with cloud platforms (AWS, Azure, or GCP) with a preference for Azure.
- Solid understanding of API development & microservices architecture, CI/CD pipelines and release workflows, containerisation using Docker, and secure coding practices.
- Comfortable balancing hands-on delivery with strategic responsibilities.
Desirable Requirements:
- Hands-on experience in multiple industries with a focus on AI applications.
- Experience managing or coordinating external AI development partnerships.
- Higher education in AI or related fields (e.g. Master's or PhD).
- Relevant professional certifications in AI, machine learning, or data science.
- Experience working in regulated or data-sensitive environments.
- Familiarity with pharmaceutical market access, HTA (Technology Assessment), or JCA (Joint Clinical Assessment) processes.
What Can We Offer You?
- Competitive Salary (dependent on experience).
- Extensive benefit programme (varied on location).
- Company-wide meet-ups.
- Exposure to an international work environment with cross-border project responsibilities.
- Flexible working – to help maintain a better work/life balance.
You must have the right to work in UK and Ireland, Germany, Benelux, Austria or have a valid long-term working permit for the EU. We’re a dynamic, solutions-focused team that brings together deep technical expertise and a commitment to excellence. If you’re a visionary Lead AI Engineer ready to architect intelligent systems, drive innovation, and shape scalable AI capabilities within a growing life sciences consultancy, we’d love to hear from you.
This role is full-time. No agencies. We are unable to offer sponsorship for this role. If you are based in Germany, you will be required to provide a copy of your CV, Cover Letter and High School Diplomas.
Lead AI Engineer employer: MAP Patient Access
At Kintiga, we pride ourselves on being an exceptional employer that fosters a collaborative and entrepreneurial culture, where every team member's voice is valued. With a focus on innovation and lifelong learning, we offer competitive salaries, extensive benefits, and flexible working arrangements to ensure a healthy work-life balance. Join us in shaping the future of healthcare technology while enjoying the unique advantages of working in a dynamic, international environment with opportunities for personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant meetups or webinars, and connect with Kintiga employees on LinkedIn. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by researching Kintiga's projects and values. Show us how your experience aligns with our mission in healthcare and life sciences. Tailor your responses to highlight your unique insights into AI applications.
✨Tip Number 3
Don’t just talk about your skills; demonstrate them! If you have a portfolio of AI projects or contributions to open-source, bring it along. We love seeing practical examples of your work and how you tackle challenges.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you're genuinely interested in joining our dynamic team at Kintiga.
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead AI Engineer role. Highlight your proficiency in LLMs, deep learning, and any relevant software engineering experience. We want to see how you can bring your unique insights to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for Kintiga. Don’t forget to mention any experience with AI partnerships or cloud platforms, as these are key for us.
Showcase Your Projects:If you've worked on any AI-driven projects, make sure to include them! Whether it's a personal project or something from a previous job, we love seeing practical applications of your skills. This helps us understand your hands-on experience and technical direction.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our dynamic team at Kintiga!
How to prepare for a job interview at MAP Patient Access
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, deep learning, and NLP. Be ready to discuss specific projects where you've applied these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves leading teams, prepare examples of how you've successfully managed development teams or partnerships in the past. Highlight your ability to balance hands-on coding with strategic oversight.
✨Understand the Business Context
Familiarise yourself with Kintiga's focus on healthcare and life sciences. Be prepared to discuss how your AI solutions can impact market access and regulatory submissions, showing that you understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about Kintiga's current AI projects and future goals. This shows your genuine interest in the company and helps you gauge if it's the right fit for you.
