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.

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.

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

Enterprise AI Architect

Key skills