Job Overview:
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
- Microsoft Certified: Azure Developer Associate
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure AI Engineer Associate
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.