AI Solutions Engineer
hace 7 días
Barcelona
pEnterprise 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. /ppbr/ppWe work with leading companies such as the SIX Group (Swiss Stock Exchange), SWICA, Generali, and others to enhance customer interactions and automate business processes using our cutting-edge Conversational AI technology. /ppbr/ppOur global team includes more than 70 highly skilled professionals from diverse backgrounds. /ppbr/ppWe foster an open, progressive company culture with state-of-the-art technology and flat hierarchies. At Enterprise Bot, you’ll experience a unique blend of passion, purpose, challenge, and fun. /ppbr/ppstrongTasks /strong /ppWe’re building something ambitious. /ppbr/ppWe 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. /ppbr/ppWe are looking for a highly technical AI Solutions Engineer to lead implementations end-to-end. /ppbr/ppThis is not a no-code operator role. This is not a project coordinator role. This is a hands-on technical builder role with direct exposure to enterprise clients. /ppbr/ppYou’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. /ppbr/ppstrongWhat you'll own: /strong /pulliDesign and implement end-to-end conversational AI architectures across chat, email, voice, agent assist, and automation workflows. /liliArchitect scalable, production-grade integrations between AI platforms and enterprise ecosystems. /liliIntegrate AI solutions with contact center platforms (e.g., Genesys Cloud / Engage), CRM systems (Salesforce, Microsoft Dynamics), ITSM tools (ServiceNow, BMC Remedy), and collaboration tools (Microsoft Teams, Outlook, O365). /liliConnect solutions to telephony providers, IVR systems, voice streaming services, and audiohook pipelines. /liliImplement integrations with messaging channels such as WhatsApp and email gateways. /liliBuild and maintain robust API-based integrations (REST, webhooks, OAuth2, JSON). /liliTranslate business requirements into scalable, production-ready technical architectures. /liliTroubleshoot complex integration issues across distributed systems. /liliWork directly with client IT teams, solution architects, CRM administrators, and technical project leads to design and implement solutions that meet enterprise requirements. /liliLead technical workshops and solution discussions with client engineering and architecture teams. /liliCollaborate internally with Project Managers and Customer Success Managers to deliver projects successfully. /liliContinuously improve internal implementation frameworks, deployment standards, and technical best practices. /li /ulpbr/ppYou won’t just configure tools. You’ll engineer production-grade AI deployments in complex enterprise environments. /ppbr/ppstrongRequirements /strong /ppThis role sits at the intersection of engineering and delivery, requiring a strong technical foundation and the ability to implement and integrate complex solutions within enterprise environments. /ppbr/pulli4+ years of experience in API integrations, backend engineering, or system integration projects. /liliStrong 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. /liliFamiliarity with webhooks, event-driven architectures, asynchronous workflows, and system architecture fundamentals. /liliExperience with logging, monitoring, and troubleshooting production systems. /liliHands-on experience integrating with CRM platforms such as Salesforce, Microsoft Dynamics, or HubSpot. /liliExperience working with contact center ecosystems (e.g., Genesys Cloud / Engage or similar). /liliExperience integrating with ITSM systems such as ServiceNow, BMC Remedy, or JIRA Service Management. /liliExposure to conversational AI, NLP, voice automation, IVR systems, email automation, and routing systems. /liliStrong debugging and troubleshooting mindset and the ability to resolve complex integration issues. /liliComfortable operating in enterprise technical environments and leading technical discussions, constructively challenging assumptions, clearly explaining architectural trade-offs, and acting as a trusted technical counterpart to clients and internal teams. /liliScripting experience with languages such as JavaScript, Python, or similar. /liliLanguage skills: Professional working proficiency in English (required) and German and/or French (required). /li /ulpbr/ppstrongBonus Points /strong /pulliHands-on experience with Genesys contact center ecosystems /liliExperience with middleware or integration platforms. /liliExperience deploying AI solutions in production environments. /li /ulpbr/ppstrongBenefits /strong /pulliWork on real AI deployments — not slide decks. /liliHigh ownership and autonomy. /liliDirect exposure to enterprise clients. /liliWork with cutting-edge conversational AI technologies. /liliBe part of building our Barcelona technical hub from the ground up. /li /ulpbr/ppIf you enjoy building, solving real integration challenges, and deploying AI where it truly matters, this role is for you! /p