What are the responsibilities and job description for the Lead AI Engineer ( Agentic AI) position at Anblicks?
Role: Lead AI Engineer ( Agentic AI)
Location: Richardson TX (Hybrid)
Duration: Long Term contract
Key Responsibilities
Knowledge Graph & Ontology (Neo4j / App Orchid)
- Design and implement ontology models and semantic frameworks
- Build and scale Customer Knowledge Graph using Neo4j and App Orchid
- Develop entity resolution, relationship mapping, and enrichment pipelines
- Write and optimize graph queries (Cypher) for analytics and insights
- Manage performance, scalability, and governance of KG platform
AI & Agentic AI Development
- Architect and implement Agentic AI and multi-agent systems
- Leverage LLMs and RAG with Knowledge Graph for contextual intelligence
- Enable capabilities such as:
- Customer 360 insights
- Relationship discovery & scoring
- Natural language querying (Graph/SQL agents)
- Drive end-to-end AI lifecycle (design deploy optimize)
Required Skills
- Knowledge Graph & Ontology: RDF, OWL, semantic modeling
- Graph Platforms: Strong hands-on with Neo4j and App Orchid
- Graph Querying: Cypher (mandatory)
- AI/GenAI: LLMs, RAG, Agentic AI (CrewAI/LangGraph)
- Programming: Python (AI data engineering)
- Data Engineering: Spark, Kafka, Airflow (or equivalent)
- Cloud: AWS / Azure
- MLOps/DevOps: CI/CD, scalable system design