ASPIRE Global Service Centre AI and Automation Technician

• Full time position, 3-5 days per week in office (not shift)
• Department: ASPIRE Managed Services
• Practice: Services Reliability Group
• Vetting Requirements: N/A

Role Summary:

Our ASPIRE Global Service Centre is the central hub of our Service Management operations. Beyond a traditional Service Desk, it stands as the central authority and shared service delivery hub, orchestrating all operational workflows, processes, procedures, and tooling. Its a core delivery component of the Version 1 ASPIRE Managed Services offering that places AI, continuous improvement and business innovation at the heart of everything Version 1 does. With a focus on supporting self-service and automation, we utilise the best digital capabilities of the ServiceNow ITSM tooling product to provide the very best Experience to our Customers.

We are seeking an experienced and results-driven AI and Automation Technician who will be responsible for the delivery and ongoing management of automation and artificial intelligence initiatives for ASPIRE Managed Services.

This role will primarily be responsible for the design, and deployment of intelligent automation solutions to improve operational efficiency and productivity, enhance decision making, scale operations and deliver a competitive advantage in the market.

Key Responsibilities:

• Identify opportunities for AI and automation across all Managed Service functions, tooling and processes
• Delivery and technical implementation of automation and AI projects, including development, testing, deployment, and monitoring
• Ensure solutions are scalable, secure, and compliant with data privacy and ethical standards
• Evaluate and select appropriate tools, platforms, and vendors
• Collaborate with business units to understand pain points and co-create solutions
• Monitor performance and continuously optimise solutions
• Development of internal capabilities and knowledge sharing across teams

Skills, Education & Qualifications:

Skills

• Proven experience delivering Microsoft AI-powered automation

  solutions for enterprise-scale infrastructure estates, including Windows, Linux, and multi-vendor databases.

• Expertise with Microsoft Azure AI and automation services

  , such as:

  • Azure OpenAI

    for natural language-driven insights and recommendations

  • Azure Machine Learning

    for predictive analytics and model deployment

  • Azure Monitor, Log Analytics, and Sentinel

    for intelligent event correlation and alerting

  • Azure Automation / Logic Apps / Power Automate

    for workflow orchestration and remediation

• Integration experience with enterprise platforms

  (e.g., ServiceNow, Salesforce) to enable automated incident creation, change management, and proactive service operations.

• Performance tuning and predictive infrastructure monitoring

  using ML models to forecast service degradation and automate remediation actions before user impact.

• Automation of patch management, configuration drift detection, and compliance enforcement

  across diverse systems and database platforms.

• Advanced use of AI/ML to correlate infrastructure events

  with engineer resource allocation for faster Mean Time to Resolution (MTTR) and improved preventative maintenance.

• Strong understanding of operational data pipelines

  , ensuring telemetry from multiple systems is normalised, enriched, and leveraged for actionable insights.

• Experience in AI-driven preventative maintenance strategies

  , reducing unplanned outages and optimising infrastructure performance at scale.