Descripción del Puesto
Enterprise Bot is the leading provider of GenAI, Conversational AI, and automation software, headquartered in Zurich, Switzerland. Our intelligent virtual assistants and automation tools help organizations improve efficiency, reduce costs, and deliver exceptional customer experiences across industries such as banking, insurance, and logistics. Our mission is to become the world’s #1 AI-driven automation software provider within the next five years.
Our global team includes more than 70 highly skilled professionals from diverse backgrounds.
We help enterprises deploy AI-powered conversational solutions (voice, chat, and email) that work in real-world, complex environments — deeply integrated into CRMs, contact centers, and core enterprise systems.
We are looking for a highly technical AI Solutions Engineer to lead implementations end-to-end.
This is not a project coordinator role. You’ll design architectures, own integrations, solve complex technical challenges, and work directly with engineering and IT teams on the client side. Work with Project Managers and CSMs internally for delivering projects.
Design and implement end-to-end conversational AI architectures across chat, email, voice, agent assist, and automation workflows.
Genesys Cloud / Engage), CRM systems (Salesforce, Microsoft Dynamics), ITSM tools (ServiceNow, BMC Remedy), and collaboration tools (Microsoft Teams, Outlook, O365).
Implement integrations with messaging channels such as WhatsApp and email gateways.
Build and maintain robust API-based integrations (REST, webhooks, OAuth2, JSON).
Work directly with client IT teams, solution architects, CRM administrators, and technical project leads to design and implement solutions that meet enterprise requirements.
Lead technical workshops and solution discussions with client engineering and architecture teams.
Collaborate internally with Project Managers and Customer Success Managers to deliver projects successfully.
Continuously improve internal implementation frameworks, deployment standards, and technical best practices.
You’ll engineer production-grade AI deployments in complex enterprise environments.
4+ years of experience in API integrations, backend engineering, or system integration projects.
~ Strong understanding of RESTful API design and consumption, authentication and authorization mechanisms (OAuth2, JWT, SSO, and token-based systems), as well as JSON, payload transformation, and data mapping.
~ Experience with logging, monitoring, and troubleshooting production systems.
~ Hands-on experience integrating with CRM platforms such as Salesforce, Microsoft Dynamics, or HubSpot.
~ Genesys Cloud / Engage or similar).
~ Experience integrating with ITSM systems such as ServiceNow, BMC Remedy, or JIRA Service Management.
~ Scripting experience with languages such as JavaScript, Python, or similar.
~ Professional working proficiency in English (required) and German and/or French (required).
Experience with middleware or integration platforms.
Work on real AI deployments — not slide decks.
If you enjoy building, solving real integration challenges, and deploying AI where it truly matters, this role is for you!