About the Role
We are seeking a seasoned AI Architect with 10+ years of experience in designing and delivering scalable AI / ML solutions in production environments. The ideal candidate will have hands-on experience with Graph Databases like Neo4j, AWS Neptune, or MemGraph and be capable of proposing end-to-end architecture and solutions tailored to complex business needs.
You will play a strategic role , working closely with product and engineering teams to define and implement graph-based AI solutions at scale.
Key Responsibilities
- Design and architect AI / ML systems leveraging Graph Databases (Neo4j, AWS Neptune, or MemGraph) in production.
- Analyze existing systems and propose scalable, performant solutions that align with business goals.
- Evaluate various graph technologies and recommend the best fit for the use case.
- Build PoCs, technical prototypes, and production-grade AI pipelines integrating graph technologies.
- Collaborate with data scientists, ML engineers, and backend developers for 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.
Must-Have Skills
10+ years of experience in AI / ML solution architecture or enterprise-level software development.Strong production 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 drive technical discussions and lead architectural decisions independently.