Ai Integrator / Ai Engineer - Barcelona

Td Synnex; Barcelona; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Leadership programs

Professional development

Descripción de la vacante

Td Synnex is seeking an AI Integrator/Engineer to design, build, and deploy end-to-end AI and automation solutions in a high-visibility AI Center of Excellence. You will prototype use cases, develop reusable components, and ensure secure, scalable integrations across ERP, CRM, and e-commerce systems.

The role emphasizes collaboration across cross-functional teams, cloud experience (Azure preferred), and a pragmatic, agile approach to delivering production-grade AI components.

Formación

• 3+ years experience in AI/ML engineering, automation, or AI-enabled system integration.
• Strong development skills in Python and AI/ML frameworks (TensorFlow, PyTorch, HuggingFace).
• Experience integrating AI solutions with enterprise systems through APIs.
• Solid understanding of data pipelines, orchestration, and system integration.
• Experience with cloud environments (Azure preferred; AWS or GCP a plus).
• Proven ability to deliver end-to-end AI solutions from concept to deployment.
• Understanding of AI governance and responsible AI principles.
• Familiarity with MLOps practices and AI lifecycle management.
• Experience with low-code / no-code platforms (Power Platform, RPA) is a plus.
• Collaboration across cross-functional teams; strong communication.

Responsabilidades

• Design, build, and deploy end-to-end AI and automation solutions across the org.
• Prototype AI use cases and convert them into production-ready applications.
• Build AI services, APIs, and enterprise workflow integrations.
• Integrate AI models into ERP, CRM, e-commerce, and other systems.
• Develop reusable components, integration patterns, and shared services.
• Ensure solutions meet security, scalability, and architecture standards.
• Evaluate new AI tools and frameworks to improve delivery speed and ROI.
• Document solutions and support knowledge transfer across teams.

Conocimientos

Python

TensorFlow

PyTorch

HuggingFace

APIs

Data pipelines

Azure

MLOps

Power Platform

RPA

Descripción del empleo

In this role you will design, build, and deploy end-to-end AI and automation solutions to accelerate enterprise AI adoption. You join the central AI function and work across AI development, data practice, and automation teams to deliver reusable, secure, production-ready AI components. You will prototype fast, convert use cases into scalable apps, and ensure alignment with enterprise standards. This is a hands-on, impact-driven position within a high-visibility AI Center of Excellence.

• Hybrid work model (3 days in office / 2 days remote)
• high-visibility strategic role
• opportunity to shape enterprise AI integration standards
• cross-functional AI initiatives
• agile and pragmatic way of working
• leadership and professional development programs
• Design, develop, and deploy end-to-end AI and automation solutions
• Prototype AI use cases and convert them into production-ready applications
• Build AI services, APIs, and enterprise workflow integrations
• Integrate AI models into ERP, CRM, e-commerce, and other systems
• Develop reusable components, integration patterns, and shared services
• Ensure solutions meet security, scalability, and architecture standards
• Contribute to AI integration standards and best practices
• Evaluate new AI tools and frameworks to improve delivery speed and ROI
• Document solutions and support knowledge transfer across teams
• 3+ years experience in AI/ML engineering, automation, or AI-enabled system integration
• Strong development skills in Python and AI/ML frameworks (TensorFlow, PyTorch, HuggingFace)
• Experience integrating AI solutions with enterprise systems through APIs
• Solid understanding of data pipelines, orchestration, and system integration
• Experience with cloud environments (Azure preferred; AWS or GCP a plus)
• Proven ability to deliver end-to-end AI solutions from concept to deployment
• Understanding of AI governance and responsible AI principles
• Familiarity with MLOps practices and AI lifecycle management
• Experience with low-code / no-code platforms (Power Platform, RPA) is a plus
• collaboration across cross-functional teams
• strong communication and knowledge transfer
• problem solving and pragmatic decision making
• Python
• TensorFlow
• PyTorch

AI Integrator / AI Engineer - barcelona barcelona, catalunya, es