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AI Systems Integration Specialist

4 days, 9 hours ago
India
Senior
AI Engineer
Software Development
AWS Azure CI/CD CRM Cybersecurity Docker ERP GCP GraphQL Java Kafka Kubernetes Microservices Microsoft Dynamics 365 MLOps Node.js Python PyTorch REST API Salesforce SAP Scikit-learn TensorFlow
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Zone IT Solutions

Zone IT Solutions

Zone IT Solutions specializes in IT recruitment, focusing on connecting top SAP talent with organizations in Australia and New Zealand, while providing agile and collaborative solutions to meet the specific needs of the digital and ERP sectors.

Internet Software & Services
51-250
Founded 2012
View All Jobs 2

Description

  • Architect and implement end-to-end AI system integrations across ERP, CRM, and other enterprise platforms.
  • Develop and manage APIs, microservices, and middleware to support AI-driven applications.
  • Collaborate with data scientists, developers, and product teams to move AI models into production.
  • Ensure compatibility, data flow, and performance optimization between AI solutions and core IT systems.
  • Deploy AI workloads across cloud and hybrid environments such as AWS, Azure, and GCP.
  • Define and enforce integration standards, security policies, and compliance guidelines.
  • Monitor and troubleshoot integration pipelines to maintain high availability and reliability.
  • Provide technical leadership on AI adoption and integration best practices.

Requirements

  • Proven experience as a Systems Integration Specialist, AI Engineer, or Solutions Architect.
  • Hands-on experience with AI/ML model deployment and integration.
  • Strong knowledge of APIs, web services such as REST and GraphQL, and middleware platforms.
  • Proficiency in Python, Java, or Node.js, with exposure to AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience with ETL pipelines, data engineering, and workflow automation.
  • Familiarity with enterprise applications such as SAP, Salesforce, or Dynamics, and integration tools such as MuleSoft, Dell Boomi, or Apache Kafka.
  • Strong understanding of cloud-native architectures, containers such as Docker and Kubernetes, and CI/CD pipelines.
  • Excellent problem-solving, documentation, and communication skills.
  • Exposure to AI-driven automation and intelligent workflows, such as RPA plus AI, is preferred.
  • Experience with MLOps tools for monitoring and managing AI models is preferred.
  • Knowledge of cybersecurity, data governance, and compliance frameworks in AI integrations is preferred.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.

Benefits

  • Competitive compensation.
  • Growth opportunities.
  • Professional development opportunities.
  • Collaborative environment with a focus on innovation and scalability.
  • Opportunity to shape enterprise-wide AI adoption strategies.
  • Work with leading-edge AI and integration technologies.

Interested in this position?

Apply directly on the company website

Apply Now

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