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Mid-level, metro role with popular LLM skills and moderate brand presence, so medium competition.
ML/AI skills are transferable but service-management and airline context add domain specificity.
Explicit 5+ years plus mandatory hands-on LLM, agentic AI, and service-management skills increase filter strictness.
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Lead design and implementation of AI-driven automation and agentic AI solutions to improve service management operations including partner onboarding, incident triage, and troubleshooting.
Develop and optimize AI-powered workflows, copilots, and knowledge management systems to reduce manual effort and accelerate issue resolution.
Analyze incident data and operational trends to provide AI-driven insights supporting Incident Management, Problem Management, and SLA improvements.
Minimum 5 years of relevant experience in Service Management, Technical Support, Integration, or Operations environments.
Hands-on experience with AI platforms/tools (e.g., Claude, GitHub Copilot) and implementing AI copilots, prompt workflows, or AI agents.
Experience with service management platforms such as Jira, Zendesk, or ServiceNow.
Strong understanding of APIs, integrations (XML, JSON, web services), and operational troubleshooting.
Experience working in airline, travel technology, or aviation industry preferred, especially with NDC, airline retailing, or API onboarding.
Familiarity with machine learning concepts, Large Language Models, agentic AI frameworks, and cloud platforms (AWS, Azure, or Google Cloud).
Demonstrated ability to lead digital transformation initiatives within service or operational environments and integrate AI to enhance operational efficiency.