GenAI Data Automation Engineer

Job Summary

The GenAI Data Automation Engineer will design and implement AI-driven automation and data engineering solutions across AWS and Azure hybrid environments. This role focuses on building intelligent, scalable data pipelines that integrate cloud services, enterprise tools, and Generative AI to support analytics, reporting, and customer engagement platforms. The ideal candidate is analytical, innovative, and mission-driven, with the ability to translate complex technical requirements into effective automated systems. This position requires U.S. citizenship and the ability to obtain a Public Trust clearance. The role is primarily remote, with occasional onsite work in the Gaithersburg area approximately once per quarter.

Job Responsibilities

• Design, develop, and maintain data pipelines using AWS services such as S3, RDS / SQL Server, Glue, Lambda, EMR, DynamoDB, and Step Functions.
• Build and optimize ETL / ELT processes to transfer data between multiple systems, including DynamoDB to SQL Server (AWS) and AWS to Azure SQL.
• Integrate AWS Connect and Nice inContact CRM data into enterprise pipelines for analytics and operational reporting.
• Enhance data ingestion pipelines using Apache Spark, Flume, and Kafka for both real-time and batch processing into Apache Solr and AWS OpenSearch.
• Leverage Generative AI frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face, LangChain) to automate vector generation, embedding, data quality checks, metadata tagging, and lineage tracking.
• Implement LLM-assisted data transformation, anomaly detection, and conversational BI interfaces for natural language access to data sources.
• Develop AI-powered copilots for pipeline monitoring, diagnostics, and automated troubleshooting.
• Optimize SQL Server performance through stored procedures, indexing, and query tuning.
• Apply CI / CD best practices using GitHub, Jenkins, or Azure DevOps for data pipelines and GenAI model deployment.
• Ensure security and compliance through IAM, encryption, VPC isolation, RBAC, and firewall configurations.
• Participate in Agile DevOps processes, delivering sprint-based enhancements and AI-enabled features.

Job Requirements

Preferred Qualifications

Additional Job Details

#DICE #CJ