AI Architect - Databricks
Core
Design and implement scalable enterprise AI/ML platforms and intelligent data solutions using Databricks Lakehouse architecture.
Role type
Senior AI Architect (Databricks & Cloud)
Builds
Production-ready AI/ML pipelines, MLOps/LLMOps frameworks, and Generative AI solutions (RAG, vector databases).
Domain
Cloud-based AI/ML, Data Engineering, Lakehouse Architecture
Deliverable
production ML models
Required skills
Enterprise AI/ML architecture, Databricks Lakehouse, Delta Lake, Unity Catalog, MLflow, Databricks Workflows, Python, PySpark, SQL, MLOps/LLMOps, Cloud platforms (Azure/AWS/GCP), Generative AI/LLM ecosystems, Data engineering, Distributed computing
Preferred skills
Databricks Model Serving, Feature Store, LangChain, Vector stores, Embeddings
Technologies
Databricks, Spark, Python, SQL, Azure, AWS, GCP, OpenAI, Hugging Face, LangChain
Responsibilities
Design enterprise AI/ML architecture; Define scalable data ingestion, feature engineering, training, deployment, and governance pipelines; Lead MLOps/LLMOps framework setup; Collaborate with stakeholders to prioritize AI use cases; Build architecture for LLM/Generative AI solutions; Establish best practices for data quality, security, and responsible AI; Provide technical leadership in tool selection and architecture reviews.
Seniority
Senior, hands-on IC with architectural leadership