About this role
Job Description Responsibilities:
• Contribute toward AI roadmap for AI-driven automation aligning with strategic company and client goals. • Collaborate with engineering and data teams to design and architect scalable, robust, and innovative AI solutions (e.g., automated network diagnostics, bot recommendation systems, AI agents NOC operations). • Act as the Solution Owner in an Agile/Scrum environment, managing the product backlog, writing detailed user stories, defining acceptance criteria, and prioritizing features. • Lead the evaluation, fine-tuning, and integration of open-source Large Language Models (LLMs) like Llama series & other LLMs. • Develop and own key components of the automation framework, including PowerShell and Python runbook executors. • Develop and train machine learning models for tasks such as anomaly detection, predictive maintenance, and capacity planning in IT environments. • Work with large datasets of IT operational data, performing data cleaning, feature engineering, and data analysis to improve model accuracy and performance. • Contribute to the development of internal automation tools and frameworks. • Deliver continuous service improvements by proactively identifying opportunities for process enhancements. • Proficiently 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 the Subject Matter Expert (SME) on AIOps, IT Process Automation (ITPA), and Runbook Automation (RBA), providing technical guidance and insights. • Document automation processes, code, and models clearly and concisely. • Actively contribute to team results and work towards achieving team goals and objectives. • Undertake designated skill/knowledge development within the organization, including training of next-level team members.
Required Skills & Competencies:
• 4+ years of experience in IT services, with at least 3 years in: • IT Service Automation – Orchestration, Scripting, & Process Assessment. • AI Engineering – Developing and deploying AI Agents and cutting-edge GenAI & ML solutions to address complex business challenges.
• Expertise in integrating various tools and building analytics/insights. • Proficiency in at least two scripting languages such as PowerShell, Python, or Shell Script. • Strong foundational knowledge across core IT domains, with a specific emphasis on Network & Network Services, including understanding network topologies, protocols, and common operational issues. • Demonstrable experience implementing solutions using state-of-the-art LLMs, with hands-on experience with both open-source models (e.g., Llama series) and proprietary models (e.g., GPT-4). • Proficiency with a major deep learning framework, preferably PyTorch, for model experimentation and fine-tuning. • Proficiency in a high-level programming language (Java, Python) and experience with containerization technologies (Docker, Kubernetes) for deploying AI models. • Solid understanding and practical experience with cloud platforms such as Azure or GCP, including knowledge of their networking services (e.g., VNets, VPCs). • Experience with AI/ML libraries and frameworks. • A strong understanding of ITIL process on one or more service lifecycle or service capability modules. • Knowledge in one or more System administrative activities like monitoring, service requests, incident management, change management, & maintenance. • Excellent communication skills with an ability to explain concepts and solutions clearly and concisely. • Excellent analytical and problem-solving skills.