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 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 / Ventajas

- 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