Define & Champion the AI Development Life Cycle: Partner with engineering and platform teams to establish a repeatable AI-SDLC framework - from prompt engineering and code generation through review, testing, and production deployment. Identify where governance, quality gates, and security checks must be embedded to keep AI-assisted development trustworthy at scale.
Sonar Integration & Enablement: Lead hands-on integration of Sonar products into customer CI/CD pipelines and AI-assisted workflows. With internal R&D in the loop, design implementations you will own end-to-end - integrating, optimizing, and productionizing within the client's existing ecosystem. Configure rules, quality profiles, and security policies aligned to each customer's risk tolerance and development maturity.
Code Quality & Security Guidance: Advise customers on eliminating technical debt and vulnerabilities surfaced by AI-generat...
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