Must Haves: 5+ years as an Appian developer/engineer, including exposure to AI-enabled solutions. AI, Appian Work flow, IDP and RPA skills Strong experience in production support (L2/L3), incident management, root cause analysis, and platform operations, with familiarity in AIOps and intelligent monitoring tools. Hands-on expertise in Appian (low-code), including RPA and IDP, along with experience integrating AI/ML capabilities such as NLP, GenAI, and intelligent automation in production environments. Knowledge of Appian platform management within a CoE model, including governance, reusable components, design standards, and best practices. Experience with data modelling, integrations (SAP, third-party, legacy systems), and exposure to AI-driven data processing or analytics. Proven ability to manage KTLO activities, prioritize incidents/defects/changes, and leverage automation and AI to improve operational efficiency. Strong troubleshooting skills with experience applying automation, predictive insights, and AI-assisted diagnostics to deliver sustainable fixes. Experience mentoring teams on Appian, AI adoption, support processes, and CoE standards. Strong communication and stakeholder management skills, with the ability to clearly articulate technical concepts, including AI-driven solutions, to business audiences. Experience in financial services or regulated environments, with understanding of governance, security, and responsible AI practices. Familiarity with Agile methodologies and tools such as Jira, Confluence, GitLab, ServiceNow, and exposure to AI-assisted development tools.