Senior Engineer, Agentic Systems & Bio Ontology Architecture

MindWalk Holdings Corp.; Diepenbeek; On-site; EUR 90,000 - 150,000; Full time

Job summary

MindWalk Holdings Corp. is seeking a Lead Engineer for Agentic Systems in Europe to unify data architecture with formal ontology and to connect biological data, evidence, and agentic AI across research and production environments.

The role combines architecture with hands-on delivery, shaping data domains, metadata, and lineage, and enabling retrieval and verification of evidence for LLM and agent workflows.

Qualifications

• Senior hands-on experience across both data architecture and formal ontology.
• Proficiency with RDF/RDFS, OWL 2, SHACL, SPARQL and production data architecture.
• Experience with biomedical/pharmaceutical/bioinformatics data and its evidence/uncertainty.
• Experience delivering at least one LLM- or agent-based workflow with structured outputs, retrieval, and human review.
• An MSc or PhD in a relevant field, or equivalent experience.
• Strong written and oral communication in English.
• Agile planning and excellent teamwork.

Responsibilities

• Model MindWalk's current- and target-state data and information architecture with its canonical semantic model.
• Define identity, versioning, provenance, and evidence-modeling rules for biological entities and metadata structures.
• Translate to production: RDF/OWL, SHACL, schemas, APIs, and automated tests.
• Build typed, permission-aware interfaces for agent and LLM workflows to retrieve evidence and trace claims to sources.
• Set versioning and CI/CD practices for evolving architecture and ontology.
• Collaborate with computational biologists and data/software engineers to stay grounded in science and production constraints.

Skills

Data architecture

Ontology

RDF/RDFS

OWL 2

SHACL

SPARQL

Data modeling

LLM workflows

Education

Master's or PhD in a relevant field

Tools

AWS

Terraform

ROBOT

LinkML

Job description

MindWalk Holdings Corp. is seeking a Lead Engineer for Agentic Systems in Europe to unify data architecture with formal ontology and to connect biological data, evidence, and agentic AI across research and production environments.

The role combines architecture with hands-on delivery, shaping data domains, metadata, and lineage, and enabling retrieval and verification of evidence for LLM and agent workflows.