[Hiring] Enterprise Artificial Intelligence Architect @NEORIS

Role Description

We are looking for an Enterprise Artificial Intelligence Architect to:

• 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.

Qualifications

• 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.

Requirements

• 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

• 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.