GenAI & Databricks Architect

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., Become a part of our caring community The Senior Application Architect designs and develops IT applications architecture solutions to business problems in alignment with the enter…

• 3 hours ago, Job Title: Appian Architect Duration: 6-12 months Location: Onsite - Louisville, KY Work Type: Rate: Pay range offered to a successful candidate will be based on several factor…
• 3 hours ago
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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

• $106,900-147,000 per year