Enterprise Artificial Intelligence Architect, Barcelona
Empresa
EPAM
Provincia
Barcelona
Ciudad
Barcelona
Tipo de Contrato
Tiempo Completo
Descripción
Enterprise Artificial Intelligence Architect
We re looking for an Enterprise Artificial Intelligence Architect to 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 organizations 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.
Responsibilities
Design enterprise AI architectures covering AI/ML foundations, NLP, agentic AI, platforms and infrastructure
Integrate large language models and agentic AI into business processes to deliver measurable outcomes
Translate business requirements into generative AI solutions using Python and data manipulation tools
Provide architecture designs, patterns, reference frameworks and consulting services for AI initiatives
Partner with Business Technology Group teams, R D, AI governance and regional data offices to align AI strategies
Define and deliver AI products aligned with enterprise AI platforms and FAIR AI principles
Support the development of global AI infrastructure to enable pharmaceutical innovation and drug discovery
Ensure AI solutions adhere to security, compliance and sustainability standards
Contribute to knowledge management and best practices for enterprise AI adoption
Drive continuous improvement and innovation in AI architecture and delivery models
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
AI, ML, AWS, Google Cloud, Azure
We re looking for an Enterprise Artificial Intelligence Architect to 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 organizations 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.
Responsibilities
Design enterprise AI architectures covering AI/ML foundations, NLP, agentic AI, platforms and infrastructure
Integrate large language models and agentic AI into business processes to deliver measurable outcomes
Translate business requirements into generative AI solutions using Python and data manipulation tools
Provide architecture designs, patterns, reference frameworks and consulting services for AI initiatives
Partner with Business Technology Group teams, R D, AI governance and regional data offices to align AI strategies
Define and deliver AI products aligned with enterprise AI platforms and FAIR AI principles
Support the development of global AI infrastructure to enable pharmaceutical innovation and drug discovery
Ensure AI solutions adhere to security, compliance and sustainability standards
Contribute to knowledge management and best practices for enterprise AI adoption
Drive continuous improvement and innovation in AI architecture and delivery models
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
AI, ML, AWS, Google Cloud, Azure