The General Manager will build and lead a new AI business unit, taking full ownership of product strategy, commercial outcomes, and team development. They will define go-to-market plans, manage enterprise sales, and align product roadmaps with commercial demand.
You will own the end-to-end product strategy, roadmap, and marketing for a new enterprise AI product line. Additionally, you will work directly with the engineering team to build the product and hire new team members as the organization scales.
Lead the design and delivery of AI-powered agentic solutions and manage the data architecture strategy for a federated health data platform. Drive the full product lifecycle within an Agile framework, focusing on outcome-based roadmaps and regulatory compliance.
Lead the implementation of scalable infrastructure and distributed architectures to power biomedical data analysis. Bridge the gap between complex biological science and software engineering while ensuring strict compliance with European data protection standards.
The AI Engineer will co-architect AI within a federated ecosystem, owning the development and deployment of machine learning models, including LLMs and predictive analytics, optimized for this architecture. Responsibilities include designing agentic systems using frameworks like LangGraph, building Advanced RAG pipelines, creating secure tool interfaces for agents, and developing robust evaluation frameworks.
