
ASPIRE Global Service Centre – AI and Automation Lead
- Bangalore, Karnataka
- Permanent
- Full-time
- Full time position, 3-5 days per week in office (not shift)
- Department: ASPIRE Managed Services
- Practice: Services Reliability Group
- Vetting Requirements: N/A
- Develop and execute the ASPIRE Managed Services automation and AI strategy aligned with SRG and EA Practice goals
- Identify opportunities for AI and automation across all Managed Service functions, tooling and processes
- Champion a culture of innovation and continuous improvement through emerging technologies
- Lead end-to-end delivery of automation and AI projects, including planning, development, testing, deployment, and monitoring
- Establish governance frameworks and best practices for AI and automation initiatives
- Oversee the design and implementation of AI models, RPA (Robotic Process Automation), and intelligent workflows
- 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
- Communicate complex technical concepts to non-technical stakeholders
- Monitor performance and continuously optimise solutions.
- Delivery of measurable business value through automation and AI
- Development of internal capabilities and knowledge sharing across teams
- Proven experience (5 years +) leading automation and AI projects in a complex, multi-client or enterprise-scale managed services environment, with demonstrable delivery of measurable business outcomes
- 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.