Enterprise Artificial Intelligence Architect New

NEORIS
Barcelona, Spain
9 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Barcelona, Spain

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Data Transformation
Graph Database
Python
Knowledge Management
Machine Learning
Natural Language Processing
Data Processing
Google Cloud Platform
Cloud Platform System
Large Language Models
Generative AI
AI Platforms
Machine Learning Operations
Virtual Agents

Job description

  • Design and evolve enterprise-level AI architectures across cloud environments (AWS, Azure, Google Cloud), ensuring scalability, security, and governance.
  • Lead the integration of Large Language Models (LLMs) and agentic AI into end-to-end business processes.
  • Translate complex business requirements into robust GenAI and AI/ML solutions using Python and advanced data manipulation tools.
  • Define and maintain architecture designs, reference frameworks, patterns, and best practices for AI/ML, NLP, agentic AI, and knowledge management.
  • Collaborate closely with cross-functional teams, including AI platforms, governance, data offices, R&D, and business technology stakeholders.
  • Ensure AI solutions comply with FAIR AI principles, security standards, and enterprise governance requirements.

Requirements

  • 8+ years of experience in enterprise architecture, with a strong focus on AI/ML solutions.
  • Proven experience designing and deploying AI architectures on cloud platforms (AWS, Azure, and/or Google Cloud).
  • Hands-on experience with Large Language Models, Generative AI solutions, and agentic AI frameworks.
  • Strong proficiency in Python and data manipulation libraries.
  • Solid understanding of AI security, governance, and responsible AI principles.
  • Experience working in complex, global, enterprise-scale environments.
  • Advanced level of English, both written and spoken.

Nice to have:

  • Experience with MLOps, AI platforms, and model lifecycle management.
  • Background in regulated industries (pharma, healthcare, finance, or similar).
  • Knowledge of NLP, knowledge graphs, and enterprise knowledge management.
  • Cloud, AI/ML, or enterprise architecture certifications.
  • Experience influencing senior stakeholders and providing architectural consulting.

Benefits & conditions

  • Permanent contract with a competitive salary.
  • Flexible working model with the possibility of remote work.
  • Personalized career development plan and continuous training (certifications, English training, etc.).
  • Participation in stable projects with a strong technical focus.
  • Flexible working hours and a strong work-life balance approach.
  • Social benefits tailored to your needs.

About the company

We are the accelerator driving growth across Ibero-America, combining EPAM's global engineering excellence with NEORIS' regional expertise and cultural proximity. We help organizations scale, modernize, and advance their digital transformation through solutions in Cloud, Data & Analytics, Artificial Intelligence, Cybersecurity, Intelligent Automation, Strategic Consulting, and Software Engineering. Backed by more than 60.000 professionals in over 55 countries and a strong Nearshore delivery model, we connect global capabilities with local trust to deliver real impact, sustainable growth, and high-value results for our clients. With more than 25 years of industry experience, NEORIS, part of the EPAM group, offers technical specialization career paths to its people. Our goal is to continue growing, and for that we want you to join us and help us improve every day. We continue to expand our teams and are looking for people who share our culture and values, including responsibility, collaboration and teamwork, creativity, and commitment. If you are looking to continuously learn, specialize, and have the opportunity to collaborate on projects using modern technologies, we would love to hear from you. Our evaluation processes focus on professionals' experience, knowledge, interests, and soft skills, as we are committed to inclusion and equal employment opportunities.

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