Agentic Outcome Engineer
Core
Architecting agentic AI systems to autonomously optimize web infrastructure, performance, and content delivery without manual intervention.
Role type
Senior IC agentic outcome engineer (web performance & AI)
Builds
Self-learning optimization systems, autonomous agents, and AI-enhanced dashboards for web performance.
Domain
Web performance engineering + AI/ML automation
Deliverable
production ML models
Required skills
AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), LLMs (ChatGPT, Claude, Gemini), front-end engineering (HTML, CSS, JavaScript, Java), CMS platforms (Adobe Experience Manager), browser performance tuning, caching strategies, CDN tuning, Real User Monitoring (RUM), headless frameworks (React, Angular, Vue.js), API-first implementations (REST, GraphQL)
Preferred skills
Computer Science or Data Science degree, scaling AI for web performance, building autonomous systems for large platforms, Adobe Experience Manager expertise
Technologies
TensorFlow, PyTorch, Scikit-learn, ChatGPT, Claude, Gemini, AEM Sites Optimizer, Core Web Vitals, SEO metrics tools, RUM platforms, React, Angular, Vue.js, REST, GraphQL
Responsibilities
Apply ML/LLMs to analyze site telemetry and generate code-level improvements; build and refine self-learning systems for performance diagnosis; develop autonomous agents to implement optimization tasks; use AI to forecast performance outcomes and simulate scenarios; embed AI capabilities into AEM and Site Optimizer; translate performance data into actionable insights via AI-enhanced dashboards.
Seniority
Senior, hands-on IC
