At Hays , we are collaborating with a leading integral pharmaceutical company operating in more than 130 countries focused on improving the health and quality of life of both people and animals through innovation, research, and technology .

We are looking for an AI Engineer whose primary mission will be to design and implement semantic AI solutions, knowledge graphs, and agentic AI architectures that support enterprise-scale AI adoption.

Responsibilities

• Design, implement, and evolve an Enterprise Semantic Layer to make enterprise knowledge accessible to AI systems and applications.

• Create unified semantic representations using knowledge graphs, ontologies, metadata, and business context .

- Design scalable architectures that enable interoperability across different data domains.

• Ensure security, governance, scalability, observability, and maintainability of semantic platform components.

• Design and implement knowledge graph architectures using RDF, OWL, SHACL, and SKOS .

• Develop retrieval solutions leveraging semantic search, embeddings, NLP, metadata, and knowledge graphs .

• Integrate semantic technologies with platforms such as Snowflake, Databricks, Neo4j, vector databases, search engines, and AI platforms .

• Design and implement MCP servers, semantic tools, and reusable agent-facing services .

• Define testing, evaluation, monitoring, and governance approaches for semantic and agentic AI systems .

Requirements





• Hands-on experience with Natural Language Processing (NLP) technologies such as spaCy .

• Experience implementing and operating knowledge graph or semantic layer solutions.

• Strong understanding of software engineering best practices , Git workflows, CI/CD, testing, and cloud-native architectures.

• Ability to collaborate effectively with data engineers, architects, AI engineers, and business stakeholders .

- Strong communication and problem-solving skills.

Valorable

• 3+ years of experience in software engineering, backend development, data platforms, or AI platform engineering.

• Strong proficiency in Python and modern API development frameworks.

• Experience with RDF, OWL, SPARQL, and SHACL .

• Experience with Metaphactory, Stardog, AWS Neptune , or similar platforms.

• Experience with Snowflake Semantic Models and Open Semantic Interoperability (OSI) specifications.

• Experience implementing MCP servers and agent platforms.

• Previous experience within pharmaceutical, healthcare, or life sciences environments.

What do we offer?

- Freelance contract through Hays.

• Initial project duration of 6-12 months .

• 100% remote working model.

• Opportunity to work on innovative projects focused on Semantic AI, Knowledge Graphs, and Agentic AI .

- International and highly collaborative environment.
- Long-term potential within a growing AI ecosystem.

📌 Freelance AI Engineer (100% remote – Fluent English) (España)
🏢 Hays
📍 España