[Hiring] ENTERPRISE AI ARCHITECT @NEORIS

Role Description

Enterprise Artificial Intelligence Architect

• Design and maintain enterprise-level AI architectures covering AI/ML foundations, NLP, large language models, agentic AI, platforms, infrastructure, and knowledge management.
• Partner with cross-functional technology and business teams to enable AI product development across multiple cloud platforms (AWS, Google Cloud, Azure).
• Integrate large language models and agent-based AI solutions into business processes, ensuring scalability, reliability, and measurable business impact.
• Translate business and functional requirements into end‑to‑end GenAI solution designs using Python, data manipulation tools, and enterprise architecture practices.
• Define architecture patterns, reference frameworks, and reusable components that accelerate AI adoption across the organization.
• Ensure AI platforms and solutions align with security, governance, privacy, and compliance standards.
• Provide technical leadership, architectural guidance, and consulting services to product teams, engineering groups, and stakeholders.
• Contribute to the evolution of enterprise AI strategy, best practices, and methodologies for sustainable project and operational success.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related fields.
• Solid experience as an Enterprise Architect, AI Architect, or similar senior architecture roles.
• Proven hands-on experience designing and integrating AI or GenAI solutions, including LLMs, NLP, and agentic AI systems.
• Strong proficiency with Python and relevant data manipulation or orchestration tools.
• Experience working with cloud-based AI or data platforms on AWS, Azure, and/or Google Cloud.
• Understanding of AI governance, risk, security, and compliance in enterprise environments.
• Strong communication, stakeholder engagement, and consulting skills.
• Ability to translate complex technical requirements into clear architectural designs and business value.

Requirements

• Experience in highly regulated industries (Health, Finance, Life Sciences, etc.).
• Certifications in AI, cloud platforms, enterprise architecture, or machine learning.
• Knowledge of FAIR AI principles, MLOps practices, and AI product lifecycle management.
• Experience designing enterprise knowledge management solutions or vector-based architectures.

Benefits

• Permanent contract with a competitive salary.
• Flexible working model and remote work options.
• Personalized career plan and continuous training (certifications, English programs, etc.).
• Participation in stable projects with a high technical component.
• Flexible schedule and work–life balance.
• Social benefits adapted to your needs.