AI Engineer – Migration Automation

UnivEdge Consulting is hiring an AI Engineer for a direct client, a global technology consulting leader based in the US. The role focuses on designing and developing AI-powered bots, agents, LLM applications, and RAG solutions to automate the DataStage-to-Microsoft Fabric migration lifecycle. The engineer will lead technical design, evaluation, integration, deployment, and mentoring activities while following enterprise Azure, security, governance, and CI/CD standards.

Responsibilities:

• Design and develop AI-powered bots/agents to automate activities across the DataStage to Microsoft Fabric migration lifecycle, including assessment, code analysis, conversion, validation, and documentation
• Develop and fine-tune LLM/GenAI models for understanding DataStage jobs, transformation logic, mappings, dependencies, and converting legacy ETL patterns to Fabric-compatible code
• Build AI agents using Python, LLMs, RAG, prompt engineering, and agentic frameworks to support migration factory automation
• Develop reusable AI solutions for DataStage code analysis, complexity assessment, code conversion, test-case generation, data validation, and defect/root-cause analysis
• Integrate AI bots with enterprise tools, APIs, repositories, and migration platforms to enable automated workflows
• Design evaluation frameworks to measure accuracy, quality, hallucination, conversion success rate, and model performance and continuously improve AI solutions
• Build and maintain RAG solutions using enterprise migration documentation, code repositories, metadata, mappings, and technical knowledge bases
• Collaborate with Data Engineers, Architects, QA Engineers, and Project Managers to identify and implement AI-driven automation opportunities
• Implement secure, scalable, and production-ready AI solutions following enterprise Azure, security, governance, and CI/CD standards
• Lead technical design, code reviews, POCs, and deployment of AI solutions and mentor junior AI engineers