This senior hands-on role defines and scales AI-enabled engineering practices to improve developer experience and delivery speed across Scrum teams
Job Summary
This senior hands-on role defines and scales AI-enabled engineering practices to improve developer experience and delivery speed across Scrum teams.
The successful candidate will embed AI tools into the full SDLC including requirements, coding, testing, and CI/CD while establishing responsible usage guardrails.
You will lead a thriving AI Engineering Community of Practice, creating playbooks and running workshops to enable safe and pragmatic GenAI adoption.
Matching Summary
This senior hands-on role defines and scales AI-enabled engineering practices to improve developer experience and delivery speed across Scrum teams.
Skills & Requirements
Must-have
15+ years software engineering experience
GenAI-assisted SDLC adoption
Python C# JavaScript SQL Shell
PyTorch TensorFlow LangChain LlamaIndex
LLM agents RAG prompt engineering
CI/CD pipeline integration
Developer experience improvement
Nice-to-have
Experience improving developer productivity at scale
Modern CI/CD and test automation modernization
Building and sustaining Communities of Practice
Exposure to security reliability observability standards
Strong executive-level presence and coaching skills
Key Requirements
15+ years in Software Engineering
5+ years leading AI or enablement initiatives
2-3 years scaling GenAI-assisted SDLC adoption
Deep understanding of SDLC and CI/CD
Strong influence and executive communication skills