Posted:1 day ago|
Platform:
On-site
Contractual
Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.
Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.
The AI and Automation Lead is responsible for embedding intelligence, efficiency, and scalability into Security Operations Centers (SOCs) by leveraging AI, GenAI, and automation platforms like Microsoft Sentinel, Azure Logic Apps, and Kyndryl Bridge. This role is pivotal in driving transformation, SLA adherence, and operational excellence across global security operations
1. Design and implement AI models for threat detection, behavioural analytics, and anomaly detection using Microsoft Native Tools and Kyndryl Bridge.
2. Integrate GenAI into SOC workflows for predictive threat modelling, incident summarization, and automated RCA generation
3. Lead the development of agentic AI systems that support autonomous decision-making and response orchestration
4. Architect and maintain automation playbooks in Azure Logic Apps to streamline incident triage, enrichment, and remediation
5. Define automation KPIs and track reduction in MTTR, ticket volumes, and manual interventions
6. Collaborate with SOAR developers and content writers to ensure modular, scalable, and reusable automation components
7. Oversee Power BI dashboard development for real-time SOC visibility, SLA tracking, and executive reporting
8. Embed GenAI-powered conversational analytics and predictive insights into dashboards for proactive decision-making
9. Define and monitor automation-linked KPIs such as ticket reduction, RCA turnaround, and SLA compliance
10. Participate in governance forums to align AI/automation initiatives with business objectives and compliance standards
11. Ensure responsible AI practices, including fairness, explainability, and human oversight
12. Work with SOC analysts, threat intelligence teams, and platform engineers to align automation with operational needs
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