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