Invillia

AI Engineer

• Define scalable data architectures using the Lakehouse paradigm
• Design and specify Databricks solutions for data ingestion, processing, storage, and consumption
• Establish standards for data modeling, governance, security, and quality
• Define integration strategies with enterprise systems, APIs, and external platforms
• Ensure the scalability, performance, and observability of implemented solutions
• Lead technical reviews and support engineering teams in implementing solutions
• Define architectures for Machine Learning and Generative AI solutions
• Design and implement model training, evaluation, and deployment pipelines
• Structure solutions based on RAG (Retrieval-Augmented Generation)
• Define strategies for vectorization, semantic search, and the use of vector databases
• Support the development and evolution of virtual assistants, intelligent agents, and enterprise copilots

Databricks AI Architect