AI Engineer – Migration Automation

Univedge Consulting is hiring for one of our direct clients - a global technology consulting leader based in the US. Immediate interviews for the below position. Share your updated resume to apply.

Role: AI Engineer – Migration Automation

Location : Remote (USA)

Skills: Python, Generative AI, LLMs, RAG, Prompt Engineering, AI Agents/Bots, Model Fine-Tuning, Machine Learning, NLP, REST APIs, Azure OpenAI, Azure AI Services, Git, CI/CD

Key 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.

Required Experience

• 6-8 years of experience in AI/ML, Generative AI, NLP, or AI engineering.
• Strong hands-on experience developing AI bots/agents, LLM applications, RAG solutions, and prompt engineering.
• Experience with LLM fine-tuning/model customization and evaluating model performance.
• Strong Python development skills and experience integrating AI/LLM solutions through APIs.
• Experience with Azure OpenAI/Azure AI Services or equivalent enterprise GenAI platforms.
• Experience building AI solutions for code generation, code conversion, automation, or data engineering is highly desirable.
• Strong understanding of SDLC, Git, CI/CD, API integration, and production deployment.

Good to Have:

• Prior experience with IBM DataStage, ETL, SQL, or Microsoft Fabric.
• Experience building AI solutions for legacy modernization, migration factories, or ETL/code conversion.
• Experience with LangChain, Semantic Kernel, AutoGen, or similar agentic AI frameworks.
• Experience with Github copilot and SLMs