Senior Google Cloud GenAI & Databricks Architect – GCP, Azure Data Engineering
Louisville, KY
Experience: 10+ years
Must Have Technical / Functional Skills
· Design, delivery, and implementation of Google Cloud Platform (GCP) infrastructure and solutions.
· Architect design and implement large‑scale migration pipelines from on‑prem systems to Azure Data Lake Storage (ADLS).
· Architect experience in generating data pipelines in Azure ADF
· GCP Expertise: Strong knowledge of GCP AI/ML services and infrastructure.
· AI/ML Frameworks: Proficiency with TensorFlow or PyTorch.
Technical Skills:
· Experience with Python, data modeling, SQL, and APIs.
· Infrastructure as Code: Experience with Terraform for automation.
· Experience: Proven ability in delivering AI/ML solutions in a cloud environment
· Experience with performing analytics on data for stakeholders.
· Experience in ingesting data from different sources using in Azure ADF
· Ensure reliable handling of high‑volume unstructured data with performance and cost efficiency.
· Implement data quality checks, logging, and traceability to support audit and compliance needs.
· Experience in transforming data using Azure Databricks & Delta lake
Roles & Responsibilities
· Architecture & Design: Design enterprise-grade AI platforms, including RAG (Retrieval- Augmented Generation) and agentic solutions.
· GCP Implementation: Develop AI models using Vertex AI and Gemini, ensuring security and performance.
· Pipeline Development: Build and manage data pipelines, model lifecycle, CI/CD, and MLOps/LLMOps with Cloud Build and Vertex AI Pipelines.
· Cloud Infrastructure: Utilize GKE, Cloud Run, and BigQuery for robust application deployment.
· Strategy & Governance: Implement AI safety features, monitor model performance, and manage costs.
General Managerial Skills
Experience working in agile development projects
Google Gen AI cloud, Databricks Architect
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