AI Integration Engineer

TechDigital Group; Providence (RI); Vor Ort; USD 100.000 - 130.000; Vollzeit

Zusammenfassung

TechDigital Group is seeking an engineer to develop AI-assisted integration capabilities and support EDI modernization through Azure Integration Services. The role requires leading the migration of BizTalk EDI interfaces and building AI/ML models to enhance EDI workflows.

The ideal candidate will have hands-on experience with enterprise integration and will collaborate on end-to-end integration solutions that meet compliance and governance standards.

Qualifikationen

• 5+ years in enterprise integration, with hands-on experience in BizTalk Server and EDI.
• 2+ years with Azure Integration Services (Logic Apps, Service Bus, API Management).
• Experience building and fine-tuning AI/ML models using Python.

Aufgaben

• Design and develop AI-assisted integration capabilities.
• Lead BizTalk EDI migration to Azure Integration Services.
• Embed AI capabilities into EDI workflows.

Kenntnisse

Enterprise integration

Azure Integration Services

AI/ML models

EDI standards

Python

JSON

XML

CI/CD pipelines

Tools

Azure DevOps

GitHub Actions

Databricks

Azure Machine Learning

Jobbeschreibung

Mandatory Skills

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

Role Overview

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