Related skills
nlp azure aws python google cloud📋 Description
- Design and maintain enterprise AI architectures across AI/ML foundations, NLP, LLMs.
- Collaborate with cross-functional teams to enable AI product development across cloud platforms.
- Integrate LLMs and agent AI into business processes for scalable impact.
- Translate requirements into end-to-end GenAI designs using Python and data tools.
- Define architecture patterns and reusable components to accelerate AI adoption.
- Ensure AI platforms meet security, governance, privacy, and compliance.
🎯 Requirements
- Bachelor's or Master's degree in CS, IS, or related fields.
- Solid experience as an Enterprise Architect, AI Architect, or similar senior role.
- Hands-on experience designing and integrating AI/GenAI solutions (LLMs, NLP).
- Strong Python proficiency and data manipulation or orchestration tools.
- Experience with cloud AI platforms on AWS, Azure, and/or Google Cloud.
- Understanding of AI governance, risk, security, and compliance.
🎁 Benefits
- Permanent contract with a competitive salary.
- Flexible working model and remote work options.
- Personalized career plan and ongoing training (certs, language programs).
- Participation in stable projects with a high technical component.
- Flexible schedule and work-life balance.
- Social benefits adapted to your needs.
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