Description

Requirements

5 or more years of experience in .NET software engineering and enterprise data architecture.

Proficiency in Azure AI services, Azure AI Foundry, and Microsoft Agent Framework development.

Experience with agentic application design utilizing LangChain, LangGraph, or open-source AI frameworks.

Experience in data modeling, advanced SQL querying, and data warehousing via Snowflake or Databricks.

Experience with Python scripting, REST API development, and automated ETL/ELT pipeline orchestration.

Experience in data extraction, integration, and automation across ERP platforms such as SAP or JD Edwards.

Excellent verbal and written communication skills.

Responsibilities

Architect and implement custom AI-powered software solutions to automate enterprise financial workflows.

Design intelligent agent applications using Microsoft Agent Framework across .NET and Python environments.

Build robust ETL/ELT data pipelines to ingest and process heterogeneous datasets from core ERP systems.

Deploy cloud-native machine learning workflows and custom generative AI models within Azure.

Establish continuous integration and continuous delivery (CI/CD) pipelines for AI applications.

Create high-performance data lakehouse architectures and data modeling schemas in Snowflake.

Collaborate with cross-functional business stakeholders to define and lead financial AI automation initiatives

Key Skills

Education

Bachelor's degree