Enterprise AI Architect (AI)

TL;DR

Enterprise AI Architect (AI): Designing and maintaining enterprise-level AI architectures, including LLMs, NLP, and agentic AI systems with an accent on cloud-based integration and scalability. Focus on translating business requirements into end-to-end GenAI solution designs and defining architecture patterns to accelerate organizational AI adoption.

Location: Must be based in Spain (Barcelona, Madrid, or Remote within Spain).

Company

A global technology consulting firm providing digital transformation and innovation services as part of the EPAM group.

What you will do

• Design and maintain enterprise-level AI/ML architectures, including LLMs and agentic AI.
• Partner with technology and business teams to enable AI product development across major cloud platforms.
• Translate business requirements into end-to-end GenAI solution designs.
• Define architecture patterns and frameworks that accelerate organizational AI adoption.
• Ensure AI solutions align with security, governance, and compliance standards.
• Provide technical leadership and architectural consulting to internal and client-facing teams.

Requirements

• Must be based in Spain
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience as an Enterprise Architect, AI Architect, or similar senior role.
• Strong hands-on experience designing AI/GenAI solutions including LLMs and NLP.
• Proficiency in Python and relevant orchestration or data manipulation tools.
• Experience with cloud-based AI/data platforms on AWS, Azure, or Google Cloud.

Nice to have

• Experience in highly regulated industries like Finance or Healthcare.
• Relevant certifications in AI, cloud platforms, or enterprise architecture.
• Knowledge of MLOps practices and AI product lifecycle management.
• Experience designing vector-based architectures or knowledge management solutions.

Culture & Benefits

• Permanent contract with a competitive salary.
• Flexible working model with remote options.
• Personalized career development plans and continuous training programs.
• Participation in stable, high-tech projects.
• Flexible scheduling to support work-life balance.
• Comprehensive social benefits adapted to individual needs.