OverviewAs Enterprise AI Architect, you enable AI product development across multiple cloud platforms and drive secure, scalable AI solutions. You’ll work with cross‑functional teams to translate business needs into generative AI, LLM, and agentic AI implementations, leveraging Python and data tools. You contribute to global AI initiatives, define reference architectures, and ensure adherence to FAIR AI principles and sustainability standards. This role supports pharmaceutical innovation and drug discovery, shaping the organization’s core AI landscape in a remote-friendly setting in Barcelona.Compensaciones / BeneficiosPrivate health insuranceEPAM Employees Stock Purchase Plan100% paid sick leaveReferral ProgramProfessional certificationLanguage courses ResponsabilidadesDesign enterprise AI architectures covering AI/ML foundations, NLP, agentic AI, platforms and infrastructureIntegrate large language models and agentic AI into business processes to deliver measurable outcomesTranslate business requirements into generative AI solutions using Python and data manipulation toolsProvide architecture designs, patterns, reference frameworks and consulting services for AI initiativesPartner with Business Technology Group teams, R&D;,



AI governance and regional data offices to align AI strategiesDefine and deliver AI products aligned with enterprise AI platforms and FAIR AI principlesSupport the development of general AI infrastructure to enable pharmaceutical innovation and drug discoveryEnsure AI solutions adhere to security, compliance and sustainability standardsContribute to knowledge management and best practices for enterprise AI adoptionDrive continuous improvement and innovation in AI architecture and delivery models Requisitos principalesExtensive experience in enterprise architecture with a focus on AI/ML solutions and platformsStrong knowledge of cloud platforms including AWS, Google Cloud and AzureProficiency in Python and data manipulation tools for AI solution developmentExperience with large language models, NLP and agentic AI integrationFamiliarity with AI security, governance and compliance frameworksAbility to design and implement AI architectures, patterns and reference frameworksStrong consulting and stakeholder management skills across global teamsUnderstanding of FAIR AI principles and sustainable AI delivery methodologiesBackground in pharmaceutical or life sciences industry is an advantageRelevant certifications in AI, cloud architecture or enterprise architecture are desirable Stakeholder managementConsulting mindsetCross-functional collaborationAI/ML platforms and architecturesAWS, Google Cloud, AzurePython and data manipulation tools

📌 Enterprise Artificial Intelligence Architect (Barcelona)
🏢 Epam Systems
📍 Barcelona