Technical Lead (US)

• Prompt Engineering
• RAG Architecture
• AI Agents and Agentic Workflows
• LLM Evaluation and Guardrails

• Python (Mandatory)
• REST APIs

• Shell Scripting

• Pandas
• NumPy
• SQL

• Anomaly Detection
• Predictive Analytics
• Classification Models
• NLP Techniques

• Splunk
• Dynatrace
• AppDynamics
• ELK Stack
• Grafana
• Prometheus

• ServiceNow

• BMC Remedy

• Docker
• Kubernetes
• GitHub Actions
• CI/CD Pipelines

• Incident Auto-Triage

• 5+ years in Application Production Support, SRE, DevOps, or Automation.
• 2+ years of hands-on experience in AI/GenAI solution development.
• Experience working with enterprise support environments and ITIL processes.
• Strong exposure to monitoring, logging, and operational support ecosystems.

• Experience in Telecom, Retail, Banking, or Enterprise Support Operations.
• Azure AI Engineer, AWS AI, ServiceNow, or ITIL certifications.
• Experience building AI solutions for large-scale production environments.

• Reduction in MTTR (Mean Time to Resolution)
• Reduction in Manual Support Efforts

• Automation Coverage %

Drive AI-led transformation of Production Support operations by automating incident management, accelerating root cause identification, improving system reliability, reducing operational costs, and enabling support teams to focus on high-value business-critical activities.

This JD is aligned for AI-led Production Support Automation programs in large enterprises such as Verizon, telecom, and managed services environments, where the focus is on reducing support effort, improving SLA adherence, and increasing operational efficiency.