Experience as a Senior AI Architect / Staff Engineer with hands-on expertise in LLM applications, RAG, Knowledge Graphs/Context Graphs, and Semantic Data Modeling.
Strong knowledge of Python, SQL, APIs, data architecture, and enterprise integrations.
Experience designing scalable and cloud-native AI architectures.
Strong understanding of AI evaluation, monitoring, observability, and reliability.
Experience with Azure and Databricks is strongly preferred.
EDI knowledge is not required.
Qualifications:
Bachelor's degree in computer science, Information Technology, Engineering, or equivalent.
Job Description:
Design and develop reliable AI and LLM-based solutions.
Build RAG, Knowledge Graph, and Context Graph solutions for enterprise use cases.
Design data and semantic models to support AI applications.
Develop and integrate APIs and enterprise systems.
Ensure AI outputs are grounded in trusted and governed enterprise data.
Implement AI evaluation, monitoring, and observability.
Work with Azure and Databricks to build scalable AI data solutions.