Description

Key Responsibilities AI & Model Development 
• Build, fine tune, and operationalize AI/ML models to support integration scenarios such as: 
o EDI document classification 
o Automated mapping suggestions 
o Schema inference 
o Exception detection and anomaly identification 
o Intelligent routing and transformation 
• Develop pipelines for training, testing, and deploying models using Azure Machine Learning, Azure OpenAI, or equivalent services. 
• Collaborate with integration architects to embed AI capabilities into EDI workflows and integration pipelines. 
EDI & Integration Engineering 
• Lead the migration of BizTalk EDI interfaces to Azure Integration Services, including: 
o Azure Logic Apps (EDI & B2B connectors) 
o Azure API Management 
o Azure Service Bus 
o Azure Functions o Integration Accounts 
• Rebuild or modernize EDI schemas, maps, trading partner configurations, and agreements. 
• Implement secure, scalable, and resilient B2B/EDI solutions aligned with enterprise standards. 
• Troubleshoot EDI transactions (X12, EDIFACT) and integration failures across environments. 
Architecture & Solution Design 
• Partner with architects to design end to end integration solutions that combine: 
o AI driven automation 
o Cloud native integration patterns 
o Event driven architectures 
• Evaluate and recommend tools, frameworks, and patterns for AI enabled integration modernization. 
• Ensure solutions meet compliance, security, and governance requirements. 
Collaboration & Delivery 
• Work closely with business, integration, and data teams to understand requirements and translate them into technical solutions. 
• Produce technical documentation, mapping specifications, and deployment guides. 
• Participate in Agile ceremonies and contribute to continuous improvement of integration and AI development practices. 

Required Skills & Experience 
•    5+ years in enterprise integration, including hands on experience with BizTalk Server and EDI. 
•    2+ years working with Azure Integration Services (Logic Apps, Service Bus, API Management, Integration Account).
•    Experience building or fine tuning AI/ML models using Python, Azure ML, or Azure OpenAI. 
•    Strong understanding of EDI standards (X12, EDIFACT), schemas, maps, and trading partner setups.
•     Proficiency in JSON, XML, XSLT, Liquid templates, and REST/SOAP APIs.
•     Experience with CI/CD pipelines (Azure DevOps or GitHub Actions). 
•    Solid understanding of cloud security, networking, and monitoring. 

Preferred Qualifications  
Experience automating EDI mapping or transformation using AI/ML. 
Familiarity with event driven architectures (Event Grid, Event Hub). 
•    Knowledge of MLOps practices and model lifecycle management. 
•    Experience with data engineering tools (Databricks, Synapse). 
•    Certifications such as: 
o Microsoft Certified: Azure Developer Associate 
o Microsoft Certified: Azure Solutions Architect Expert 
o Microsoft Certified: Azure AI Engineer Associate

Key Skills

Education

Bachelor's degree