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Develop and enhance ServiceNow TSM/OMT applications for work order management, scheduling, dispatch, discovery, service mapping, and CMDB operations. Collaborate with stakeholders and technical SMEs, configure MID servers and discovery patterns, develop REST integrations, maintain event rules, prevent duplicate configuration items, and migrate Service Mapping patterns across environments.

Leads day-to-day ServiceNow operations supporting telecom processes, including workflow management, SLA governance, incident and escalation handling, performance reporting, and continuous improvement. Coordinates operations teams, technical stakeholders, telecom SMEs, and customers to ensure stable, compliant service delivery. Responsibilities include workload allocation, shift coverage, root-cause analysis, process transitions, documentation, operational reviews, automation, and corrective actions.

The ServiceNow Solution Architect - AI role involves leading and mentoring a team, designing and deploying AI-driven applications, managing application development, and integrating solutions into ServiceNow modules. Responsibilities include coordinating with stakeholders, troubleshooting, and ensuring adherence to technical standards.

Develop, train, deploy, and maintain machine learning and generative AI solutions, including predictive models, NLP applications, chatbots, LLMs, and agentic AI systems. Design scalable ETL pipelines, optimize databases, process large datasets with Spark and Snowflake, and create business visualizations. The role requires expertise across Python, SQL, cloud AI platforms, machine learning frameworks, databases, and data engineering.

Lead ServiceNow AI/ML development, mentor engineers, and architect Agentic AI solutions. Build, train, and deploy machine learning models, NLP and LLM applications, chatbots, autonomous agents, ETL pipelines, and large-scale analytics across AWS, Azure, and Google Cloud. Work with Spark, Snowflake, databases, visualization platforms, and ServiceNow to deliver intelligent workflow automation for global enterprises.

Develop, deploy, and maintain machine learning and AI solutions, including predictive models, NLP applications, chatbots, LLMs, and agentic AI systems. Build scalable data and ETL pipelines using cloud platforms, big data technologies, and databases. Apply TensorFlow, PyTorch, Hugging Face, and cloud AI services while creating data visualizations and optimizing analytics workflows.

Lead product strategy, roadmap, and market launch for agentic AI solutions. Collaborate cross-functionally to define requirements, validate features, integrate with ServiceNow, drive POCs and production rollouts, and measure ROI and IP/services revenue.