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 / 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 integral 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