Agentic Outcome Engineer

Overview

Agentic Outcome Engineer role on Adobe’s Experience Success Engineering team, focused on using AI/agentic systems to autonomously improve intelligent web performance and web infrastructure.

What you'll do

• Apply machine learning models and LLMs to analyze site telemetry and generate code-level performance improvements.
• Build and refine autonomous agents that monitor, diagnose, and resolve performance issues.
• Embed AI feedback loops to evolve optimization strategies using Core Web Vitals and SEO metrics.
• Use AI to forecast performance outcomes and simulate optimization scenarios for technical audits.
• Collaborate with engineering teams to embed AI capabilities into AEM and Site Optimizer for automation.
• Translate performance data into actionable insights using AI-enhanced dashboards and predictive analytics.

What you'll need

• Strong foundation in AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience using LLMs (e.g., ChatGPT, Claude, or Gemini).
• Experience integrating AI into web performance workflows including code analysis, personalization, and optimization.
• Proficiency in front-end engineering (HTML, CSS, JavaScript, Java) and Adobe Experience Manager (AEM).
• Deep understanding of browser performance, caching strategies, and CDN tuning.
• Familiarity with Real User Monitoring (RUM) tools and AI-enhanced observability platforms.

Details

• Location: Noida, India.