AI Solutions Specialist

SUMMARY:
Drive a powerful, reliable IT infrastructure that keeps the business running and the future moving. Lead the integration and deployment of advanced AI solutions within manufacturing operations, driving efficiency, quality, predictive capabilities, and improved decision-making. Oversee AI-related systems, data pipelines, and integrations while providing technical leadership, strategic planning, and hands-on expertise to support business objectives.

POSITION INFO:
Key Responsibilities:

• AI Deployment and Integration:
  • Identify opportunities to optimise manufacturing processes and product quality.
  • Lead the end-to-end implementation of AI models from data preparation through to deployment.
  • Integrate AI solutions into ERP, MES, and production control systems.
  • Develop predictive maintenance and quality-control AI applications.
• Systems Operations and Data Strategy:
  • Collaborate with production, quality, and maintenance teams to ensure alignment.
  • Maintain robust data pipelines enabling real-time AI analytics.
  • Ensure system uptime, performance, and scalability.
• Reporting and Insights:
  • Develop real-time dashboards using AI-driven analytics.
  • Present AI project ROI and performance reports to senior leadership and directors.
  • Identify trends, anomalies, and opportunities for continuous improvement.
• IT Governance, Compliance & Leadership:
  • Ensure that AI systems and integration comply with IT governance and security requirements.
  • Contribute to achieving industry best practices in infrastructure, data, and AI management.
  • Provide guidance and technical leadership to system administrators and support teams.
  • Manage governance and compliance activities to mitigate IT-related risks.
• Cross-Functional Alignment & Project Execution:
  • Understand the objectives of various business departments and ensure that AI initiatives support operational and strategic needs.
  • Coordinate and supervise AI-related infrastructure and data projects to deliver meaningful business benefits.
  • Build and maintain strong internal stakeholder and supplier relationships.
  • Plan AI and data projects, ensuring delivery within budget and aligned with business objectives.
• Asset & System Life-Cycle Management:
  • Manage the life-cycle of AI-related systems, data platforms, software tools, and the associated infrastructure.

• Bachelor’s Degree in Data Science, Computer Science, AI, or a related field.
• 2-4 years working experience in an AI related role.

• Software Developers
• Mobile Developers
• Business and Systems Analysts
• BI and SQL Experts