GenAI Architect

3 settimane fa


Milano, Lombardia, Italia Vodafone A tempo pieno

Role purpose:

As a key member of Vodafone Italy's technology team, the GenAI Architect will be responsible for designing, developing, and implementing Generative AI solutions that drive business growth and customer satisfaction.

Key accountabilities and decision ownership:


• Solution Design & Architecture: Develop scalable, secure, and high-performance GenAI solutions that meet business needs across various departments.

• Innovation & Strategy: Develop AI strategies that align with Vodafone Italy's long-term goals, focusing on cutting-edge generative AI technologies.

• Collaboration & Stakeholder Management: Work closely with business leaders, data scientists, AI engineers, and external partners to gather requirements and ensure successful solution delivery.

• Technology Stack & Integration: Architect solutions that integrate with Vodafone's existing tech stack, including cloud platforms and APIs.

• Model Optimization & Deployment: Collaborate with AI and ML teams to ensure the proper training, fine-tuning, and deployment of generative models.

• Security & Compliance: Ensure that all GenAI solutions adhere to the highest security, privacy, and regulatory standards.

• Continuous Improvement: Stay updated on the latest trends in AI and machine learning technologies and apply them to enhance existing solutions.

Required competencies, knowledge, and experience:


• Proven Experience in AI/ML: At least 5 years of experience in AI/ML, with a strong focus on architecting generative AI solutions.

• Technical Expertise: Deep understanding of generative models, NLP, transformers, and large language models.

• Cloud Expertise: Hands-on experience with cloud platforms and AI/ML services.

• Solution Architecture: Experience in designing large-scale, distributed AI systems.

• Programming Languages: Strong skills in Python, Java, or other relevant languages used in AI development.

• Data Integration: Expertise in working with structured and unstructured data.

• Security & Compliance: Familiarity with GDPR and AI ethics.


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