Themesoft Inc. is a global IT solutions provider and a Woman‑Owned Minority Business Enterprise headquartered in Dallas, TX. With a strong presence across the US, Canada, India, Singapore, and Brazil, we specialize in digital transformation, consulting, and workforce solutions across diverse industries.
We are currently looking for a tech-savvy and results-driven professional for one of our leading clients. If you’re passionate about technology and looking to grow in a dynamic, fast-paced setting, this could be the perfect fit for yo .
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.
Key Responsibilities Design and develop agent-based AI systems for
Automated SAS → PySpark code conversion
Intelligent test case generation and validation
Build and orchestrate multi-agent workflows leveraging LLMs (Claude) for
Code parsing, transformation, optimization, and validation
Implement RAG pipelines to retrieve reusable patterns, business rules, and legacy logic during code conversion




Develop and execute automated testing frameworks to compare SAS vs PySpark outputs (data reconciliation, validation checks
Integrate solutions with AWS services (Bedrock, S3, Glue, Lambda, API Gateway, etc)
Collaborate with actuarial/business teams to interpret domain-specific logic and ensure functional equivalence
Build reusable accelerators for large-scale legacy modernization programs
Ensure robustness through logging, monitoring, and evaluation of agent outputs
Contribute to best practices for AI-driven software engineering and autonomous pipelines
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
Strong experience in data validation and testing frameworks
Exposure to LangChain / LangGraph / agent frameworks
Nice to Have Experience in actuarial / insurance domain (pricing, risk models, etc)
Familiarity with MLOps / CI-CD for AI pipelines
Experience: 8–12+ years (Senior Consultant)
Location Toronto – Hybrid
Regards,
Parthasarathy K
Lead Recruiter
Work: 9
72-474-8787 Ext: 306, Direct: (phone hidden)
[email protected]
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📌 Senior Consultant / Lead – Agentic AI & SAS to PySpark Modernization (Ontario)
🏢 Socket.dev
📍 Ontario