Now Hiring: Associate Director, AI Systems Strategist (Life Sciences) Ghent, Belgium
(Relocation supported) |
6‑month contract → potential permanent Open to candidates in Belgium or Switzerland
Are you a life‑science technology leader with real experience shaping
agentic or multi‑agent AI solutions in a regulated (GxP) setting ?
Do you excel at turning complex business needs into clear, actionable technical direction? If so, this role will put you at the centre of one of the most innovative AI build-outs in the industry.
⭐
Why This Role Matters You’ll act as the strategic bridge between scientific, operational, and engineering teams—designing and delivering
agentic & multi-agent AI systems
that truly scale across R&D, Development, and Commercial functions. We’re looking for someone who: Has hands-on experience developing or owning AI solutions
inside
a Pharma, Biotech, or Med Device organisation Understands GxP deeply enough to explain its operational impact to engineering, infrastructure, security, compliance, and quality Can assess and translate ambiguous business requirements into robust, production-ready AI specifications Is energised by cutting-edge AI (agentic frameworks, multi-agent workflows, orchestration, MLOps, cloud-native architecture)
What You’ll Be Doing Translate Business → AI Engineering Turn strategic goals into system architectures, roadmaps, multi-agent workflows, and technical specifications Lead discovery on use cases, feasibility, and value for agentic AI solutions Design & Build Architect pilots using Azure, AWS, Snowflake, Databricks, and open-source frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI) Harden solutions for production with the right observability, reliability, and performance measures Buy & Integrate Evaluate external AI tools and embed them into enterprise systems and regulated workflows Ensure interoperability, compliance, auditability, and scalability Collaborate Everywhere Partner closely with: Engineering • Architecture • Infrastructure • Ops • Security • Quality • Compliance • Domain business teams
Your Background ✔ Experience in
Pharma, Biotech, or MedTech
(Med Device: must be internal systems—not wearable tech) ✔ Strong capability in AI Engineering, ML Engineering, Data Science, or Solution Architecture ✔ Fluent in cloud ecosystems (Azure ML/OpenAI, AWS Bedrock/SageMaker, Snowflake, Databricks) ✔ Hands-on understanding of multi-agent stacks and orchestration ✔ Comfortable discussing the real-world implications of
GxP, including how you have adapted AI/ML solutions to regulatory constraints
Soft Skills That Make You Stand Out High empathy and strong stakeholder communication Ability to bring clarity to ambiguous environments Passion for emerging AI technologies Resilience, adaptability, and a solution-focused mindset Comfort leading brainstorming sessions—but
not
a line management role
Example Projects You May Own Using ML to
cut clinical development timelines —optimising site strategy, inclusion/exclusion criteria, and patient pool modelling Integrating third‑party AI solutions into systems like
Veeva
to streamline workflows and reduce operational friction Building early-phase prototypes and maturing them into scalable, enterprise-ready systems
Travel & Location ✈ Average travel to Ghent every other week Relocation package available: – Apartment for 3 months – Help from a relocation agency – Language courses – Tax advisory support If you’re passionate about shaping next-generation agentic AI in a regulated life‑science environment—and you thrive on both strategy and hands-on delivery—this is your opportunity.
Interested? Message me directly for a confidential conversation.
Planet Pharma is an equals opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation, or age.