Agentic Outcome Engineer

Adobe Adobe · Enterprise · Noida, India

This role focuses on deploying agentic systems and AI-powered automation to enhance web infrastructure, performance, and adaptability. It involves applying ML models and LLMs to analyze site telemetry, identify performance bottlenecks, and generate code-level improvements, as well as building self-learning systems for autonomous performance engineering and deploying agents to implement optimization tasks.

What you'd actually do

  1. Apply machine learning models and LLMs to analyze site telemetry, identify performance bottlenecks, and generate code-level improvements.
  2. Build and refine self-learning systems that monitor, diagnose, and resolve performance issues across large-scale web ecosystems.
  3. Develop and deploy autonomous agents to implement optimization tasks, validate outcomes via Core Web Vitals and SEO metrics, and adapt based on user engagement signals.
  4. Use AI to forecast performance outcomes, simulate optimization scenarios, and align technical decisions with strategic digital goals.
  5. Collaborate with engineering teams to embed AI capabilities into AEM and Site Optimizer, transforming recurring patterns into scalable, automated features.

Skills

Required

  • AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • LLMs (e.g., ChatGPT, Claude, Gemini)
  • integrating AI into web performance workflows
  • code analysis
  • personalization
  • optimization
  • front-end engineering (HTML, CSS, JavaScript, Java)
  • CMS platforms like Adobe Experience Manager
  • browser performance
  • caching strategies
  • CDN tuning
  • Real User Monitoring (RUM) tools
  • AI-enhanced observability platforms
  • headless frameworks (React, Angular, Vue.js)
  • API-first implementations (REST, GraphQL)

Nice to have

  • Degree or equivalent experience in Computer Science, Data Science, or a related field
  • Proven success applying AI to optimize web performance at scale
  • Experience building autonomous systems for Fortune 500 digital platforms
  • Experience in Adobe Experience Manager

What the JD emphasized

  • Required Industry Experience 7-10yrs
  • Ability to design, deploy, and monitor AI models in production environments

Other signals

  • deploying agentic systems
  • AI-powered automation
  • optimize digital experiences
  • evolve content delivery