Project description

This role focuses on delivering AI-assisted database migration and modernization solutions, specifically targeting Oracle to PostgreSQL transformations. The position involves designing intelligent, LLM-driven workflows to automate schema conversion, SQL remediation, validation, and reconciliation. You will build scalable AI accelerators leveraging RAG, prompt engineering, and orchestration frameworks while ensuring strong governance, auditability, and human-in-the-loop validation for enterprise-grade migration programs.

Responsibilities

Design and implement AI-assisted workflows for database migration and modernization

Develop LLM-driven pipelines for schema conversion, SQL translation, and PL/SQL remediation

Build and orchestrate workflows for transformation, validation, and exception handling

Implement advanced prompt engineering techniques for migration artifact generation

Design and optimize Retrieval Augmented Generation (RAG) solutions for migration rules and reusable patterns

Enable human-in-the-loop validation and enterprise review mechanisms

Establish AI safety, governance, guardrails, and auditability frameworks

Integrate AI solutions into enterprise migration and delivery workflows

Develop knowledge models and semantic retrieval systems for migration intelligence

Implement LLM observability, monitoring, and evaluation frameworks (LLMOps)

Ensure quality, accuracy, and scalability of migration outputs across large datasets

Skills

Must have

Strong experience in AI-assisted database migration and modernization

Solid understanding of Oracle to PostgreSQL migration, including schema conversion, SQL compatibility, and PL/SQL remediation

Proficiency in Python (FastAPI, Pydantic) for backend AI development

Hands-on experience with LangChain and/or LangGraph for workflow orchestration

Experience working with OpenAI APIs and/or open-source LLMs (Llama, Mistral)

Hands-on experience with vector databases (Pinecone, Milvus, Weaviate)

Experience building internal tools using Streamlit or Gradio

Experience with cloud AI platforms (AWS Bedrock, Azure AI, Google Vertex AI)

Experience with LLM monitoring tools (LangSmith, Arize Phoenix or similar)

Strong expertise in prompt engineering for SQL translation and code remediation

Experience in designing and implementing RAG-based solutions

Knowledge of AI safety, governance, guardrails, and auditability

Experience in enterprise application integration and AI orchestration

Understanding of knowledge modeling and semantic retrieval systems

Experience in LLM observability, evaluation, and monitoring (LLMOps)

Experience with API integration and backend orchestration frameworks

Preferred Domain Knowledge:

Strong understanding of Oracle database objects, SQL, and PL/SQL

Knowledge of PostgreSQL fundamentals and migration considerations

Experience in enterprise migration programs and modernization initiatives

Understanding of data validation, reconciliation, and quality control processes

Nice to have

Familiarity with AWS Kiro

Experience in AI-led enterprise modernization or migration programs

Strong understanding of validation, reconciliation, and migration quality control frameworks

Exposure to performance and cost optimization in AI-driven migration solutions

Familiarity with CI/CD pipelines for AI/ML deployments

Other

Languages

English: B2 Upper Intermediate

Seniority

Senior

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