WHO WE ARE ☝

We are Kintiga (formerly MAP Patient Access, Axtalis, and SKC), a pan-European specialist consultancy that partners with ambitious health technology developers through the complex journey to achieve successful market access across Europe, with our tailored approach, global perspective and local expertise.

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 the 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. Become part of a supportive, dynamic team that thrives on innovation, lifelong learning, and making a meaningful impact in healthcare and life sciences.

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.

WHAT WE'RE LOOKING FOR 🔍

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 partnership and provide technical direction to the wider delivery team and manager 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.

Drive the development of cutting-edge AI solutions and
Bring your unique insights and experience into AI discussion. Be a major voice on buy-it vs build-it commercial decision-making and technical feasibility
Work with AI Suite Product Owners (stream leads) 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 (reporting to CDO) and provide technical direction to the wider contractor and developer network
Stay up to date with latest AI technologies and contribute to in-house R&D
Ownership of AI services & projects, ensuring alignment with strategic goals &
Propose, design and deploy production-grade AI systems including LLM-powered applications, RAG pipelines, and intelligent automation workflows, - with ownership of Kintiga’s live AI Suite products (EPRI, SLR v2, PICSI) - from a hands-on technical leadership & practical coding perspective, to enhance organisational and client delivery capabilities.
Manage and take ownership of our CI/CD pipelines, automated testing, and cloud
Contribute to product roadmap planning and technical feasibility.

ABOUT YOU 🚀

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; familiarity with model training frameworks (TensorFlow, PyTorch) is useful but not a primary requirement.
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 e.g. data drift detection, experimentation tracking, RAG, deployment models
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
Secure coding practices
Comfortable balancing hands-on delivery with strategic responsibilities.

Desirable Requirements

Industry Experience: Hands-on experience in multiple industries with a focus on AI applications.
Partner Management: Experience managing or coordinating external AI development partnerships (specialist consultancies, academic labs, or vendor relationships) — including scoping work, reviewing delivery quality, and managing monthly capacity allocation.
Advanced Degrees: Higher education in AI or related fields (e.g. Master's or PhD).
Certifications: Relevant professional certifications in AI, machine learning, or data science.
Experience working in regulated or data sensitive environments
Domain Interest: Familiarity with pharmaceutical market access, HTA (Technology Assessment), or JCA (Joint Clinical Assessment) processes; or a demonstrable interest in learning this domain. Candidates with genuine curiosity about how AI outputs translate into regulatory submissions consistently outperform those without
This is a nice-to-have. We don't want to put off good talent from applying but it would divide those who at least research it before an interview.

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 avalid 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.

LAST BUT NOT LEAST ✅

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.

MAP Patient Access remote jobs

Lead AI Engineer