Now Hiring: Associate Director, AI Systems Strategist (Life Sciences)Ghent, Belgium (Relocation supported) | 6‐month contract → potential permanentOpen 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 MattersYou'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 organisationUnderstands GxP deeply enough to explain its operational impact to engineering, infrastructure, security, compliance, and qualityCan assess and translate ambiguous business requirements into robust, production-ready AI specificationsIs energised by cutting-edge AI (agentic frameworks, multi-agent workflows, orchestration, MLOps, cloud-native architecture)
What You'll Be DoingTranslate Business → AI EngineeringTurn strategic goals into system architectures, roadmaps, multi-agent workflows, and technical specificationsLead discovery on use cases, feasibility, and value for agentic AI solutionsDesign & BuildArchitect 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 measuresBuy & IntegrateEvaluate external AI tools and embed them into enterprise systems and regulated workflowsEnsure interoperability, compliance, auditability, and scalabilityCollaborate EverywherePartner closely with:Engineering • Architecture • Infrastructure • Ops • Security • Quality • Compliance • Domain business teams
Your BackgroundExperience 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 ArchitectureFluent in cloud ecosystems (Azure ML/OpenAI, AWS Bedrock/SageMaker, Snowflake, Databricks)Hands-on understanding of multi-agent stacks and orchestrationComfortable discussing the real-world implications of GxP, including how you have adapted AI/ML solutions to regulatory constraints
Soft Skills That Make You Stand OutHigh empathy and strong stakeholder communicationAbility to bring clarity to ambiguous environmentsPassion for emerging AI technologiesResilience, adaptability, and a solution-focused mindsetComfort leading brainstorming sessions—but not a line management role
Example Projects You May OwnUsing ML to cut clinical development timelines —optimising site strategy, inclusion/exclusion criteria, and patient pool modellingIntegrating third‐party AI solutions into systems like Veeva to streamline workflows and reduce operational frictionBuilding early-phase prototypes and maturing them into scalable, enterprise-ready systems
Travel & LocationAverage travel to Ghent every other weekRelocation package available:– Apartment for 3 months– Help from a relocation agency– Language courses– Tax advisory supportIf 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.