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Senior / Principal GenAI Technical Lead (m/f/d)

Contract Type: Freelance / Contract
Status: Open
Project Start: 01.11.2026
Project End: 31.12.2026

Description

We are seeking a highly experienced, hands-on technical leader at Senior or Principal level to lead a team of Data Scientists and AI Engineers. The team develops GenAI applications to support decision-making throughout the entire product lifecycle. Responsibilities include setting the technical direction, guiding architecture and implementation, mentoring the team, and translating business and scientific requirements into robust GenAI solutions. The focus is on designing and orchestrating multiple agents and data sources to deliver trustworthy, grounded, verifiable and reference-based results with clear traceability to the underlying evidence. This includes evaluation, hallucination control, validation, observability and human oversight where necessary. The applications must be production-ready, scalable, performant, reliable, secure and cost-efficient, and support multiple concurrently active users. Expectations include critically evaluating new technologies, making pragmatic technology decisions and advancing the technical capabilities of an experienced team.
Flexible remote work; occasional travel must be possible as needed. Workload from 50%, with potential for extension.

Must-Have Skills

Generative AI Expert
Large Language Models (LLMs) Expert
AI Agents Expert
Agentic Workflows Expert
Retrieval-Augmented Generation (RAG) Expert
Tool Calling Expert
Conversational Analytics on quantitative and qualitative data Expert
Multi-agent orchestration and integration of multiple data sources Expert
Grounding, reference-based results and traceability to evidence Expert
GenAI evaluation and validation Expert
Observability Expert
Software engineering and software architecture Expert

Languages

English C1 - Advanced

Experience

Extensive hands-on GenAI experience at Senior or Principal level.

Technical leadership of a team of Data Scientists and AI Engineers, including architectural oversight, implementation guidance, mentoring and further development of an already experienced team.

Solid experience in Production Engineering: developing production-ready, scalable, responsive, reliable, secure and cost-efficient applications for multiple concurrent users, beyond the prototype stage.

Experience in pharmaceuticals, life sciences, scientific decision support or regulated environments.

Location

Remote (DEU)
Remote