AI Solutions Engineer

Enterprise Bot

Barcelona

On-site

EUR 60,000 - 80,000

Full time

14 days+

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

High ownership and autonomy

Direct exposure to enterprise clients

Work on real AI deployments

Job summary

A leading AI solutions company is seeking an AI Solutions Engineer in Barcelona to implement end-to-end conversational AI architectures. The role involves designing scalable integrations, working closely with engineering teams, and engaging with enterprise clients. Applicants should have at least 4 years of experience in API integrations and backend engineering, strong debugging skills, and proficiency in English and German or French. This position offers a unique opportunity to build and innovate in a dynamic, supportive environment.

Qualifications

4+ years of experience in API integrations or backend engineering.
Strong understanding of authentication mechanisms like JWT and SSO.
Hands-on experience with CRM platforms such as Salesforce.

Responsibilities

Design and implement end-to-end conversational AI architectures.
Architect scalable integrations between AI platforms and enterprises.
Work with client IT teams to deliver complex solutions.

Skills

API integrations

RESTful API design

OAuth2

JSON

Troubleshooting

Project Management

JavaScript

Python

Conversational AI

Tools

Salesforce

Genesys Cloud

ServiceNow

Job description

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.

We 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.

Our global team includes more than 70 highly skilled professionals from diverse backgrounds.

We 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.

Tasks

We’re building something ambitious.

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 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.

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.

What you'll own

Design and implement end‑to‑end conversational AI architectures across chat, email, voice, agent assist, and automation workflows.
Architect scalable, production‑grade integrations between AI platforms and enterprise ecosystems.
Integrate 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).
Connect solutions to telephony providers, IVR systems, voice streaming services, and audiohook pipelines.
Implement integrations with messaging channels such as WhatsApp and email gateways.
Build and maintain robust API‑based integrations (REST, webhooks, OAuth2, JSON).
Translate business requirements into scalable, production‑ready technical architectures.
Troubleshoot complex integration issues across distributed systems.
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 won’t just configure tools.

You’ll engineer production‑grade AI deployments in complex enterprise environments.

Requirements

This 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.

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.
Familiarity with webhooks, event‑driven architectures, asynchronous workflows, and system architecture fundamentals.
Experience with logging, monitoring, and troubleshooting production systems.
Hands‑on experience integrating with CRM platforms such as Salesforce, Microsoft Dynamics, or HubSpot.
Experience working with contact center ecosystems (e.g., Genesys Cloud / Engage or similar).
Experience integrating with ITSM systems such as ServiceNow, BMC Remedy, or JIRA Service Management.
Exposure to conversational AI, NLP, voice automation, IVR systems, email automation, and routing systems.
Strong debugging and troubleshooting mindset and the ability to resolve complex integration issues.
Comfortable 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.
Scripting experience with languages such as JavaScript, Python, or similar.
Language skills: Professional working proficiency in English (required) and German and/or French (required).