Enterprise Artificial Intelligence Architect

Epam Systems
Madrid, Spain
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Cloud Engineering Data Transformation Python (Programming Language) Knowledge Management Machine Learning Software Product Management AI Infrastructure Data Processing
+5 more
Google Cloud Large Language Models IT Architecture AI Platforms Virtual Agents

Job description

We’re looking for anEnterprise Artificial Intelligence Architectto join our team in Barcelona, Spain, in a remote working mode.The Enterprise Artificial Intelligence Architect will play a key role in enabling AI product development across multiple cloud platforms, including AWS, Google Cloud and Azure.This role focuses on AI security, platforms and solutions, partnering with Business Technology Group teams, R&D, AI governance and regional data offices.The architect will integrate large language models and agentic AI into business processes, leveraging Python and data manipulation tools to translate business requirements into generative AI solutions that deliver measurable results.Responsibilities include designing enterprise AI architectures covering AI/ML foundations, NLP, agentic AI, platforms, infrastructure and knowledge management.The role provides architecture designs, patterns, reference frameworks and consulting services to support global AI initiatives.The architect will contribute to building the organization’s core AI landscape, defining and delivering AI products aligned with the AI platform while adhering to FAIR AI principles and applying proven methodologies for sustainable project and operational outcomes.ResponsibilitiesDesign 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 global 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 modelsRequirementsExtensive 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 desirableBenefitsPrivate health insuranceEPAM Employees Stock Purchase Plan100% paid sick leaveReferral ProgramProfessional certificationLanguage courses#J-*****-Ljbffr

Requirements

Extensive experience in enterprise architecture with a focus on AI/ML solutions and platforms Strong knowledge of cloud platforms including AWS, Google Cloud and Azure Proficiency in Python and data manipulation tools for AI solution development Experience with large language models, NLP and agentic AI integration Familiarity with AI security, governance and compliance frameworks Ability to design and implement AI architectures, patterns and reference frameworks Strong consulting and stakeholder management skills across global teams Understanding of FAIR AI principles and sustainable AI delivery methodologies Background in pharmaceutical or life sciences industry is an advantage Relevant certifications in AI, cloud architecture or enterprise architecture are desirable

Benefits & conditions

Private health insurance EPAM Employees Stock Purchase Plan 100% paid sick leave Referral Program Professional certification Language courses #J-*****-Ljbffr

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