AI Architect (Knowledge Graphs)

As an AI Architect in this role, you will be responsible for designing and delivering scalable AI/ML solutions in production environments. You should have hands-on experience with Graph Databases like Neo4j, AWS Neptune, or MemGraph. Your primary focus will be proposing end-to-end architecture and solutions that meet complex business needs. Key Responsibilities: - Design and architect AI/ML systems using Graph Databases (Neo4j, AWS Neptune, or MemGraph) in production environments. - Analyze current systems and propose scalable solutions aligned with business objectives. - Evaluate different graph technologies and recommend the most suitable for specific use cases. - Develop Proof of Concepts (PoCs), technical prototypes, and production-grade AI pipelines integrating graph technologies. - Collaborate with data scientists, ML engineers, and backend developers for the seamless integration of AI models. - Define data modeling strategies for graph databases, including ontology/taxonomy design. - Establish best practices, documentation, and governance models for graph-based AI systems. Qualifications Required: - 10+ years of experience in AI/ML solution architecture or enterprise-level software development. - Strong hands-on experience with at least one graph database: Neo4j, AWS Neptune, or MemGraph. - Proven ability to design AI/ML solutions integrated with graph data modeling. - Deep understanding of data structures, algorithms, and distributed systems. - Hands-on experience with Python, Java, or Scala in AI/ML contexts. - Ability to facilitate technical discussions and make independent architectural decisions.,