GenAI Solution Architect
6 giorni fa
**Job Summary:** As a key member of Vodafone Italy's technology team, you will lead the design, development, and implementation of cutting-edge Generative AI solutions that enhance business processes, improve customer experiences, and drive operational efficiencies.
**Key Responsibilities:**
- Design and architect scalable, secure, and high-performance AI solutions to meet business needs across various departments.
- Develop AI strategies that align with Vodafone Italy's long-term goals, focusing on emerging AI technologies.
- Collaborate with business leaders, data scientists, AI engineers, and external partners to gather requirements, present solutions, and ensure successful solution delivery.
- Architect solutions that integrate with Vodafone's existing tech stack, including cloud platforms, APIs, and data analytics tools.
- Collaborate with AI and ML teams to ensure the proper training, fine-tuning, and deployment of generative models that are optimized for scale and performance.
- Ensure that all AI solutions adhere to the highest security, privacy, and regulatory standards, and Vodafone's internal policies.
- Stay updated on the latest trends in AI and machine learning technologies and apply them to enhance existing solutions.
- Provide technical leadership to junior architects and engineers, fostering a culture of innovation and excellence within the AI team.
**Required Competencies, Knowledge, and Experience:**
- Proven experience in AI/ML, with a strong focus on architecting generative AI solutions.
- Deep understanding of generative models, NLP, transformers, and large language models.
- Proficiency with AI development frameworks like TensorFlow, PyTorch, etc.
- Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud), with a focus on AI/ML services and infrastructure.
- Experience in designing large-scale, distributed AI systems with an understanding of microservices architecture, APIs, and modern data platforms.
- Strong skills in Python, Java, or other relevant languages used in AI development.
- Expertise in working with structured and unstructured data, data pipelines, and real-time data processing frameworks.
- Familiarity with GDPR, AI ethics, and data privacy practices, especially as they pertain to AI technologies.
**Nice to Have Technical and Professional Qualifications:**
- Prior experience in the telecom industry or with AI-driven customer engagement platforms.
- Familiarity with Agile and DevOps methodologies to lead projects in a fast-paced, dynamic environment.
- Certifications in AI, cloud computing, or solution architecture from recognized organizations.
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