Senior Google Cloud GenAI & Databricks Architect

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