AI + Integration Engineer

Mandatory Skills: Azure Integration Services (Logic Apps, Service Bus, API Management, Integration Account), AI/ML models, EDI standards

• We re looking for someone who can sit at the intersection of AI engineering, enterprise integration, and EDI modernization.
• This role owns the design and development of AI-assisted integration capabilities while supporting the migration of legacy BizTalk EDI interfaces to Azure Integration Services (AIS).
• The engineer will build and refine models that enhance mapping, transformation, validation, and exception handling workflows across EDI transactions.

Key Responsibilities

AI & Model Development

• Build, fine-tune, and operationalize AI/ML models to support integration scenarios such as:
• EDI document classification
• Automated mapping suggestions
• Schema inference
• Exception detection and anomaly identification
• 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:
• Azure Logic Apps (EDI & B2B connectors)
• Azure API Management
• Azure Service Bus
• Azure Functions
• 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:
• AI-driven automation
• Cloud-native integration patterns
• 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:
• Microsoft Certified: Azure Developer Associate
• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure AI Engineer Associate