GenAI Engineer-Atlanta GA/Chicago IL/NY

Role: Senior Gen AI Engineer (Azure)

Locations: Atlanta, GA/ Chicago, IL (Hybrid Onsite)

Duration: 12+ Months Contract

Note: Candidate needs to be in the office 3-4 Days every week. Local or candidates from adjacent states only.

Key Responsibilities:

• Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks.
• Ingest, transform, and curate structured and unstructured data from diverse sources for AI/ML consumption.
• Optimize data workflows for performance, reliability, and cost-efficiency.
• Enable data access and preparation for Azure AI services including Azure Machine Learning, Azure OpenAI, and Cognitive Services.
• Collaborate with data scientists and ML engineers to operationalize AI models using MLOps and GenAIOps practices.
• Support RAG (Retrieval-Augmented Generation) and other GenAI patterns through data engineering best practices.
• Implement CI/CD pipelines for data workflows using Azure DevOps or GitHub Actions.
• Automate infrastructure provisioning using Terraform, Bicep, or ARM templates.
• Monitor and troubleshoot data pipelines and cloud resources using Azure Monitor and Log Analytics.

Skills and Qualifications:

• 8- 10+ years of experience in data engineering, cloud platforms, and big data technologies.
• Strong proficiency in Azure services: Data Factory, Synapse, Data Lake, Azure SQL, Cosmos DB.
• Experience with Python, Spark, SQL, and distributed data processing.
• Familiarity with AI/ML workflows and tools such as Azure ML, MLflow, and OpenAI APIs.
• Understanding of data governance, security, and compliance in cloud environments.