OverviewAsegúrese de leer la descripción completa a continuación y, si confía en que cumple todos los requisitos, envíe su solicitud de inmediato.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.Compensaciones / BeneficiosHybrid work model (3 days in office / 2 days remote)high-visibility strategic roleopportunity to shape enterprise AI integration standardscross-functional AI initiativesagile and pragmatic way of workingleadership and professional development programsResponsabilidadesDesign, develop, and deploy end-to-end AI and automation solutionsPrototype AI use cases and convert them into production-ready applicationsBuild AI services, APIs, and enterprise workflow integrationsIntegrate AI models into ERP, CRM, e-commerce, and other systemsDevelop reusable components, integration patterns,



and shared servicesEnsure solutions meet security, scalability, and architecture standardsContribute to AI integration standards and best practicesEvaluate new AI tools and frameworks to improve delivery speed and ROIDocument solutions and support knowledge transfer across teamsRequisitos principales3+ years experience in AI/ML engineering, automation, or AI-enabled system integrationStrong development skills in Python and AI/ML frameworks (TensorFlow, PyTorch, HuggingFace)Experience integrating AI solutions with enterprise systems through APIsSolid understanding of data pipelines, orchestration, xhfqzwm and system integrationExperience with cloud environments (Azure preferred; AWS or GCP a plus)Proven ability to deliver end-to-end AI solutions from concept to deploymentUnderstanding of AI governance and responsible AI principlesFamiliarity with MLOps practices and AI lifecycle managementExperience with low-code / no-code platforms (Power Platform, RPA) is a pluscollaboration across cross-functional teamsstrong communication and knowledge transferproblem solving and pragmatic decision makingPythonTensorFlowPyTorch

📌 Ai And Cloud Security Engineer (Gracia)
🏢 Accenture
📍 Gracia