Senior Software Engineer

Overview In this role you will shape Adobe’s Brand Visibility platforms at the AI-native frontier, architecting systems that stay relevant over years and scaling AI-driven brand intelligence. You’ll cross-functionally define AI architecture, build shared tooling, and drive the org toward AI-native practices. You’ll deliver features for an AI-first Brand Visibility product, partner with enterprise customers, and codify quality and governance at scale. This is a high-impact, boundary-pusting opportunity to influence Adobe’s AI strategy and brand presence at scale.

Leistungen / Benefits comprehensive benefits programs Verantwortungsbereiche Define AI architecture strategy for AI-debuggable service chains across teams Build shared tooling (MCP servers, skills, pattern libraries) to raise engineering maturity Develop and ship features for Brand Visibility, an AI-first product for AI-driven discovery Design end-to-end AI workflows with human checkpoints at critical boundaries Engage with enterprise customers and senior stakeholders to translate strategy into architecture Create automated quality enforcement (gates, structural tests, accountability models) that scales Integrate with SEO/GEO platforms such as Semrush to inform brand visibility data handling Share expertise through tech talks, white papers, and architectural documents Zentrale Anforderungen 8+ years of software engineering experience, or a relevant university degree with equivalence Deep

expertise in distributed systems design and AI-native engineering Hands-on experience with AI tools like Codex or Claude Code and ability to guide team adoption Working knowledge of SEO/GEO concepts and their impact on content visibility in search and AI-driven experiences Track record of shifting technical direction beyond an immediate team through tooling and standardization Self-directed, capable of driving complex, ambiguous goals to closure Sets the AI-native standard others build on, beyond mere practices Cross-functional collaboration Strategic thinking and stakeholder engagement Communication and technical storytelling AI-native engineering Distributed systems design AI tooling (Codex, Claude Code)