Agentic AI Data Architect

Key Responsibilities

• 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