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# GenAI and Databricks Architect

- **Company:** Tata Consultancy Services Limited
- **Location:** Louisville, KY, United States
- **Salary:** $120,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, BigQuery, Cloud Computing, Continuous Integration, Data Validation, Data Transformation, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Azure Data Lake, Software Safety, Software Deployment, SQL Databases, Unstructured Data, Data Logging, Google Cloud, Pytorch, Retrieval-Augmented Generation, Build Server, Data Lakes, AI Platforms, Information Technology, Machine Learning Operations, Terraform, Data Pipelines, Databricks
- **Published:** May 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d770e6d2cbd4a4bb

## About the Role

Do you have experience in Terraform?, Do you have a Bachelor's degree?, * 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, Qualifications : BACHELOR OF COMPUTER SCIENCE

## Description

* 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.


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