Technical Lead - AI OPs

What you'll do

• Design and implement an enterprise-grade AIOps platform for full incident lifecycle management.
• Integrate observability platforms with AI/ML capabilities to detect anomalies and provide actionable insights.
• Develop an agentic AI-powered virtual assistant for intelligent operational responses and analysis.
• Create real-time dashboards for key operational metrics to enable proactive decision-making.
• Collaborate on generative AI solutions to automate report generation and streamline workflows.
• Architect AI/ML algorithms to predict system failures and recommend preventive actions.
• Lead a team of AIOps engineers, mentoring them through complex technical challenges.

What we're looking for

• At least 5 years of experience in a technology role, preferably with cloud platforms like AWS, Azure, or Google Cloud.
• Hands-on experience using observability tools such as Moogsoft, Dynatrace, or Splunk for monitoring and anomaly detection.
• Solid understanding of machine learning algorithms and data analysis techniques to enhance IT operational efficiency.
• Experience designing and working with agentic systems and automation agents to provide intelligent responses to operational queries.
• Demonstrated ability to lead and mentor high-performing engineering teams in a technical leadership role.
• Excellent problem-solving, communication, and interpersonal skills for effective stakeholder engagement.