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.

Company: Kintiga

Role: Lead AI Engineer

Location: 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.

Experience:

Profven experience leading development or engineering teams
Experience with cloud platforms (AWS, Azure, or GCP) with a preference for Azure
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

Qualification:

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

Role Focus: • Drive the development of cutting-edge AI solutions • Bring unique insights and experience into AI discussion • 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 • Propose, design and deploy production-grade AI systems including LLM-powered applications, RAG pipelines, and intelligent automation workflows

Additional responsibilities:

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
Manage and take ownership of our CI/CD pipelines, automated testing, and cloud
Contribute to product roadmap planning and technical feasibility

Nice to have:

Industry Experience: Hands-on experience in multiple industries with a focus on AI applications
Partner Management: Experience managing or coordinating external AI development partnerships
Domain Interest: Familiarity with pharmaceutical market access, HTA (Technology Assessment), or JCA (Joint Clinical Assessment) processes

More skills:

Vertex, AutoML, OCR, STT, feature stores, SQL, NoSQL, API development, microservices architecture, CI/CD pipelines, release workflows, Containerisation using Docker, Secure coding practices

Other:

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

Lead AI Engineer

Skills Required

Description