Senior Consultant / Lead – Agentic AI & SAS to PySpark Modernization Location:-Toronto, ON (Hybrid) Job Summary: We are seeking a highly skilled professional to design and build Agentic AI-driven solutions to automate SAS to PySpark code conversion and validation. The role will leverage AWS Bedrock (Claude), Retrieval-Augmented Generation (RAG), and multi-agent orchestration to enable intelligent code transformation and automated testing frameworks, particularly in actuarial/data domains. This position is part of a strategic data modernization initiative with strong focus on automation, scalability, and accuracy.

Required Skills: Strong experience in Python & PySpark development Hands-on experience in AWS (Glue, S3, Lambda, Bedrock, CloudWatch) Experience with LLMs (Claude / OpenAI / similar) and prompt engineering Expertise in RAG architectures and vector-based retrieval systems Experience in SAS programming / SAS data pipelines (critical for conversion logic) Knowledge of ETL/data engineering and large-scale data migration Familiarity with agentic AI frameworks / multi-agent orchestration concepts [Agentic AI...cture Dive | SharePoint] Strong experience in data validation and testing frameworks Exposure to LangChain / LangGraph / agent frameworks