PAY: $90-100/hour W2. Our company offers our consultants a suite of benefits after a qualification period including health, vision, dental, life and disability insurance.
REMOTE ROLE, preferred candidates in Eastern or Central time, to coordinate with European partners.
Description:
- What is the primary focus of this role: Ontology design, Semantic graph modeling, AI system integration (e.g., RAG pipelines, agent orchestration), it will all of the above, but building Ontologies.
- Would like 5+ years' overall experience, some Enterprise AI + hoping to see 2+ years' hands-on with Knowledge Engineering / Ontology
- Should know standards such as RDF and W3C for Semantic Graphs
- Leverage ontologies to enhance data pipelines and enable advanced knowledge engineering solutions.
- Collaborate with AI teams to ensure ontology structures efficiently support Agentic AI applications, including RAG pipelines and Agent Orchestration.
- Graph Database Expertise
- Work with both Semantic Graph and Property Graph technologies, understanding their unique architectures and use cases.
- Utilize Semantic Graph tools for rule-based inference and semantic reasoning.
- Employ Property Graph tools like Neo4j, Amazon Neptune, and TigerGraph for network analytics and data exploration.
- Integrate graph solutions with AI and machine learning systems, ensuring seamless knowledge retrieval and reasoning.
- Network Science Application
- Apply network science techniques to analyze and interpret complex relationships within graph data.
- Develop algorithms and models to extract insights from graph structures and relationships.
- Use network insights to enhance AI systems' ability to reason across interconnected data sets.
- Minimum Education Master's degree ideally in engineering, science or another technical or business related field
- Strong expertise in ontologies, including their design, implementation, and application in real-world scenarios.
- Proficiency in graph database technologies, with hands-on experience in both Semantic Graph and Property Graph systems.
- Solid understanding of network science concepts and their practical applications in graph engineering.
- Familiarity with standards such as RDF and W3C for Semantic Graphs, as well as bespoke standards for Property Graphs.
- Ability to mentor and train junior team members, fostering a culture of learning and growth.
- Experience integrating AI considerations (like LLM-based retrieval, RAG pipelines, and Agent Orchestration) into graph ecosystem design.
- Experience with data pipelines and integrating graph databases into larger data ecosystems.
- Knowledge of rule-based inference systems and network analytics tools.
- Strong problem-solving skills and the ability to work independently on complex technical challenges.
- Prior exposure to enterprise AI initiatives, demonstrating an understanding of how knowledge graphs support agent-based architectures.
Who We Are:
The Fountain Group is a nationwide staffing firm with over 80 Fortune 100-500 clients. Since 2001, TFG has maintained a consistent standard of excellence, and our work is broadly recognized every year through numerous industry performance awards. Our success is a team effort.
Browse our website below for additional information on our company.
The Fountain Group
3407 W Martin Luther King Jr. Dr. Tampa, FL 33607
“We work in Life Sciences, Clinical, Engineering, IT, and more. Above all, we specialize in people.”