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Senior specialist role with niche GenAI and knowledge-graph requirements reduces candidate pool.
Highly domain-specific architecture and semantic/GenAI expertise limits cross-industry interchangeability.
Explicit 12+ years and many mandatory architecture, cloud, and GenAI skills increase filter strictness.
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Lead architecture and technical delivery of an enterprise-scale Data and AI Platform with scalable, governed, and AI-ready solutions.
Collaborate with customers and engineering teams to define architecture, establish best practices, and ensure successful implementation.
Architect highly scalable Knowledge Graphs, Graph RAG solutions, semantic middleware, and design interfaces like Natural Language, GraphQL, and Streaming.
12+ years of experience as a Technical Architect in Data Engineering and AI/GenAI platforms.
Hands-on experience with AWS cloud services and Snowflake.
Expertise in data platforms, ETL/ELT pipelines, data governance, semantic technologies, Knowledge Graphs, and Generative AI technologies.
Experience with REST APIs, GraphQL, microservices, containerized deployments, and security/identity management (RBAC/ABAC).
Experienced in leading enterprise-scale Data and AI platform solutions with close engagement of customer stakeholders.
Strong technical leadership skills involving mentorship, architectural standards definition, and design reviews.
Background combining modern data engineering, semantic technologies, and generative AI with cloud-native architectures in complex, cross-functional environments.