Associate / Senior Associate - Cloud, Data and AI (CD&AI) - Cloud & AI Engineer
Role overview
Description The Cloud, Data & AI Team at PwC develops AI systems that are productively used and sustainably maintained.
In direct exchange with customers, we design, develop and implement Generative AI applications in cloud environments to significantly solve real business challenges.
## Responsibilities - Design and define system architectures and select suitable technologies - Manage autonomous coding workflows: steer AI coding agents for generation, testing and refinement of 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-based development ## Requirements ### Technical Core Competencies - Knowledge of Python, AI/ML frameworks, REST APIs, backend development, Git workflows and code review processes.
Description
Description The Cloud, Data & AI Team at PwC develops AI systems that are productively used and sustainably maintained.
In direct exchange with customers, we design, develop and implement Generative AI applications in cloud environments to significantly solve real business challenges.
## Responsibilities - Design and define system architectures and select suitable technologies - Manage autonomous coding workflows: steer AI coding agents for generation, testing and refinement of 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-based development ## Requirements ### Technical Core Competencies - Knowledge of Python, AI/ML frameworks, REST APIs, backend development, Git workflows and code review processes.