Overview
As 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 general 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 / Beneficios
Private health insurance
EPAM Employees Stock Purchase Plan
100% paid sick leave
Referral Program
Professional certification
Language courses Responsabilidades
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 Requisitos principales
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 Stakeholder management
Consulting mindset
Cross-functional collaboration
AI/ML platforms and architectures
AWS, Google Cloud, Azure
Python and data manipulation tools

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