linkedin
Founding AI Architect/Principal Research Engineer
Zebra People | B Corp™
Dubai, UAE
Full Time
Lead
1 months ago
Knowledge RepresentationReasoning SystemsOntology DesignKnowledge GraphsRDFOWL
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
Knowledge RepresentationReasoning SystemsOntology Design
About the Role
An early-stage AI company is seeking a senior technical anchor to define and build a cognitive operating system with structured reasoning and persistent memory.
Key Skills for This Role
Knowledge RepresentationReasoning SystemsOntology DesignKnowledge GraphsRDFOWL
Responsibilities
- Define and build the foundational reasoning and memory architecture behind the product
- Ingest messy multimodal information, identify and evolve concepts over time, represent relationships formally
- Reason over structured knowledge, preserve provenance, and expose the reasoning process
- Shape the technical direction and build the team around the domain as the company scales
Requirements
- Deep experience in knowledge representation and reasoning, ontology design, knowledge graphs, or related areas
- Experience building production grade AI systems
- Strong technical judgment and originality
Full Job Posting
Founding AI Architect / Principal Research Engineer
- We’re partnering with a highly ambitious early stage AI company building a fundamentally different kind of intelligence platform.
- This team is building a cognitive operating system designed around structured reasoning, persistent memory, contextual understanding and explainable intelligence.
- At the centre of the platform is a concept centric intelligence layer.
Relevant Backgrounds
- Knowledge representation and reasoning
- Ontology design, ontology evolution or semantic modelling
- Knowledge graphs, semantic graphs or concept graphs
- RDF, OWL, SHACL, SPARQL, linked data or semantic web technologies
- Automated reasoning, description logic, logic programming, Datalog, Prolog or rule based systems
- Neurosymbolic AI or hybrid neural symbolic architectures
- LLMs grounded in structured knowledge
- GraphRAG, semantic retrieval or knowledge grounded generation
- Agent memory, persistent memory or cognitive architectures
- AI planning, constraint reasoning or temporal reasoning
- Provenance, explainability, traceability or trustworthy AI
- Entity resolution, information extraction, knowledge discovery or semantic data integration
Why This Role
- Founding level ownership over the core intelligence architecture
- Meaningful equity
- Work directly with highly technical founders
- Early commercial traction already in place
- Build core IP rather than peripheral AI features
- Shape the technical direction
- Opportunity to build the team around your domain as the company scales
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career