AI-native Engineering Platform
AI-native engineering is PwC's new way of delivering software, where AI is embedded directly into every phase of the Software Delivery Lifecycle - across planning, design, coding, testing, and deployment. As part of this initiative, Worked on a unified AI-native SDLC console that automates and orchestrates software development, enabling teams to move from idea to deployment with greater speed, precision, and control.
Project Details
Client
PwC
Industry
AI Engineering
Location
Prague, Czech Republic
Services
AI Engineering, Cloud Architecture, Full-stack Development, DevOps
Challenge
To transform the traditional software delivery lifecycle by embedding AI directly into every phase, creating a faster, more consistent, and guided delivery experience rather than just using AI as an add-on.
Solution
Built scalable, cloud-native microservices with Docker and Kubernetes, focusing on secure, observable, and reliable AI platforms. Implemented RAG pipelines with LangChain, LangGraph, and vector databases, and managed CI/CD with GitHub Actions and Azure DevOps. Developed a unified AI-native platform for orchestrating the development process.
Results
- Built the SDLC Launch accelerator: a unified AI-native console
- Embedded AI into every phase of the Software Delivery Lifecycle
- Implemented RAG pipelines using LangChain and LangGraph
- Established scalable cloud-native microservices architecture on Azure
- Automated and orchestrated software development workflows