• Provide tactical day-to-day technical support to operational contacts. • Understand clinical workflows and apply PerfectServe solutions to improve them. • Partner with customer contacts to enhance adoption, train on self-administration best practices, and optimize account configurations. • Utilize Zendesk to ensure accurate and timely resolution of service requests in collaboration with the Support Center. • Manage, resolve and document complex and escalated requests and configuration changes. • Prepare and analyze reports for business reviews, utilizing custom reporting and analytics tools. • Contribute to product, process, and best practice documentation. • Provide tier-three technical support and collaborate on product feedback and enhancement requests. • Investigate and thoroughly document reported technical client concerns

• Solve high-impact problems across CKEditor and CKSource products, spotting where AI or automation can add value. • Work with product and engineering stakeholders to clarify goals, scope, and success metrics. • Design pragmatic end-to-end solutions across the editor, backend services, and other portfolio products. • Prototype quickly, iterate with feedback, and evolve the best ideas into production features. • Build integrations and platform patterns (APIs, workflows, ecosystems) that extend product capabilities. • Influence technical direction and best practices across teams, helping others adopt new tools effectively. • Drive adoption of AI-assisted development (agents, reviews, testing, ops) to improve how we build and ship software.

• Build the hybrid AI collaboration layer connecting local AI and cloud AI. • Design dynamic orchestration for planning, routing, and execution. • Optimize AI workflows for latency, cost, privacy, and reliability. • Enable agent-based systems with local planning and hybrid execution. • Partner with product, systems, and runtime teams to ship production-ready platforms. • Engage with industry-leading AI providers for co-engineering. • Work with internal engineering teams and external partners, customers, and ISVs to deliver optimized AI solutions using Intel products. • Research technical trends and utilize deep domain expertise to prototype solutions and develop AI software. • Optimize performance of AI models through deep knowledge and expertise of AI frameworks, algorithms, models, and related hardware. • Research, develop, and adjust new or existing AI models, code, parameters, and/or quantization to enhance hybrid performance. • Serve as a trusted technical advisor and provide technical enabling. • Partner with Intel software and hardware product development teams to accelerate and optimize future products in AI and HPC domains.

• Lead the end-to-end technical architecture, design, and delivery of Oracle Fusion Cloud solutions across Finance, Procurement, and FAH • Oversee development of RICEW components including integrations, reports, extensions, conversions, and workflows • Architect and guide integration design using Oracle Integration Cloud (OIC) including REST/SOAP APIs, scheduled jobs, app-driven flows, and file-based integrations • Own the architecture, design, and governance of data pipelines leveraging Fusion Data Intelligence (FDI), Oracle Data Integrator (ODI), and Autonomous Data Warehouse (ADW) • Review and approve technical design specifications, integration maps, FBDI/ADFDI logic, and solution architecture diagrams • Lead performance tuning, error-handling framework design, logging strategies, and technical optimization across OIC, ADW, and Oracle Fusion layers • Direct troubleshooting of complex technical issues across integrations, OIC flows, ADW pipelines, BI reports, and financial data transformations • Collaborate with functional leads to translate business requirements into scalable, compliant, and supportable technical solutions • Guide and mentor offshore technical teams, assign development tasks, and ensure delivery quality and adherence to technical standards • Perform technical readiness analysis for quarterly Oracle Cloud updates and coordinate regression testing and remediation activities • Oversee technical aspects of data migration including mapping logic, data validation, reconciliation, and cutover automation • Prepare and maintain architecture documentation, technical standards, migration scripts, deployment runbooks, and knowledge transfer materials • Support cutover execution, deployment, and post-go-live hypercare to ensure stability and performance of all technical components