Associate / Senior Associate - Cloud, Data and AI (Cloud & AI Engineer) — PwC Switzerland
Role overview
## Descrizione The Cloud, Data & AI team at PwC develops AI systems that are used productively and remain in place over the long term.
In direct communication with customers, we design, develop and implement generative AI applications in cloud environments to significantly solve real business challenges.
## Mansioni - Design and define system architectures and select appropriate technologies - Control autonomous coding workflows: direct AI coding agents to generate, review and refine code - Develop generative AI applications from concept phase to productive deployment - Work directly with customers, identify business requirements and deliver technical solutions - Implement AI solutions in the cloud, preferably on Azure, alternatively on GCP or AWS - Design and operate data architectures, including data pipelines and vector databases - Ensure stringent technical discipline with testing, code reviews, CI/CD and monitoring - Drive the further development of internal frameworks, tools and methodologies for AI-supported development ## • Requisiti ### Core technical competencies - Knowledge of Python, AI/ML frameworks, REST APIs, backend development, Git workflows and Code review processes.
Description
## Descrizione The Cloud, Data & AI team at PwC develops AI systems that are used productively and remain in place over the long term.
In direct communication with customers, we design, develop and implement generative AI applications in cloud environments to significantly solve real business challenges.
## Mansioni - Design and define system architectures and select appropriate technologies - Control autonomous coding workflows: direct AI coding agents to generate, review and refine code - Develop generative AI applications from concept phase to productive deployment - Work directly with customers, identify business requirements and deliver technical solutions - Implement AI solutions in the cloud, preferably on Azure, alternatively on GCP or AWS - Design and operate data architectures, including data pipelines and vector databases - Ensure stringent technical discipline with testing, code reviews, CI/CD and monitoring - Drive the further development of internal frameworks, tools and methodologies for AI-supported development ## • Requisiti ### Core technical competencies - Knowledge of Python, AI/ML frameworks, REST APIs, backend development, Git workflows and Code review processes.
