Experience Acceleration Specialist
Pubblicato il 05-10-2026 - Genesys in Vercelli
Overview
In this hands-on role you will design and build AI-enabled customer experience experiences within Genesys Cloud, turning concepts into reusable assets for sales, partners, and customers. You'll work across CX, AI, and integration domains to deliver practical, scalable experiences that demonstrate value of orchestration and automation. You'll stay current with AI capabilities and translate technical work into clear business outcomes, driving speed from idea to implementation while collaborating with cross-functional teams.
Retribuzione / Benefits
flexible-first culture
paid volunteer time
August Free Fridays
well-being resources
regionally tailored programs
career growth and education support
Responsabilità
Design, build, test, and iterate AI and Agentic Virtual Agent experiences in Genesys Cloud
Create lightweight apps, integrations, and automations using Genesys Cloud APIs/SDKs
Apply AI-first development practices across design, coding, testing, and documentation
Turn prototypes into scalable, reusable experience assets for GTM and customers
Collaborate with internal tech teams to identify repeatable use cases and gaps
Stay updated on Genesys Cloud AI capabilities and trends and turn knowledge into practical solutions
Requisiti fondamentali
Hands-on app development experience (JavaScript/TypeScript, Python)
Experience with REST APIs, SDKs, authentication/OAuth, JSON, webhooks, Git
Proven use of AI-first development environments across solution design and iteration
Ability to evaluate AI-generated code for correctness, security, and business value
Experience designing/building AI-powered CX solutions, virtual agents, or agentic workflows
Working knowledge of Agentic AI concepts and orchestration
Ability to translate technical concepts into business value for stakeholders
English and Italian fluency
Autonomous, collaborative in a fast-moving environment
autonomy
collaboration
communication
JavaScript/TypeScript
Python
REST APIs