Contribute to the AI roadmap, focusing on AI-driven automation aligned with strategic company and client goals.
Collaborate with engineering and data teams to design and architect scalable, robust, and innovative AI solutions, including automated network diagnostics, bot recommendation systems, and AI agents for NOC operations.
Act as the Solution Owner in an Agile/Scrum environment, managing product backlogs, writing detailed user stories, defining acceptance criteria, and prioritizing features.
Lead evaluation, fine-tuning, and integration of open-source Large Language Models (LLMs) like the Llama series and other proprietary LLMs.
Develop and maintain key components of the automation framework, including PowerShell and Python runbook executors.
Develop and train machine learning models for anomaly detection, predictive maintenance, and capacity planning in IT environments.
Work with large IT operational datasets, performing data cleaning, feature engineering, and analysis to improve model accuracy and performance.
Contribute to the development of internal automation tools and frameworks.
Identify opportunities for process enhancements and deliver continuous service improvements.
Develop AI/Gen AI point solutions to meet business needs.
Troubleshoot and resolve issues related to automation systems and AI models.
Engage with customers, IT operators, Network Engineers, and internal stakeholders to gather requirements, validate solutions, and ensure product-market fit.
Serve as a Subject Matter Expert (SME) on AIOps, IT Process Automation (ITPA), and Runbook Automation (RBA), providing technical guidance.
Document automation processes, code, and AI models clearly and concisely.
Contribute actively to team results and achieve team goals and objectives.
Undertake skill/knowledge development initiatives, including training next-level team members.
