Agentic Outcome Engineer at Adobe

AdobeNoida
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CSE

About this role

The Challenge and Opportunity Join our Experience Success Engineering (ESE) team to architect the future of intelligent web performance! Leverage ground breaking AI technologies to autonomously optimize digital experiences, accelerate site speed, and evolve content delivery across the modern web! This Agentic Outcome Engineer role centers on deploying agentic systems and AI-powered automation to enhance web infrastructure, performance, and adaptability—without relying on manual intervention or traditional client servicing. Core Focus Areas Web Optimization Using Machine Learning Apply machine learning models and LLMs to analyze site telemetry, identify performance bottlenecks, and generate code-level improvements. Use AEM Sites Optimizer and custom AI pipelines to drive continuous improvement. Autonomous Performance Engineering Build and refine self-learning systems that monitor, diagnose, and resolve performance issues across large-scale web ecosystems. Integrate AI feedback loops to evolve optimization strategies in real time. 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. Predictive Modeling & Technical Audits Use AI to forecast performance outcomes, simulate optimization scenarios, and align technical decisions with strategic digital goals. Platform Intelligence & Automation Collaborate with engineering teams to embed AI capabilities into AEM and Site Optimizer, transforming recurring patterns into scalable, automated features. Data-Driven Decision Systems Translate performance data into actionable insights using AI-enhanced dashboards, predictive analytics, and visualization tools. Capabilities for Success Strong foundation in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and LLMs (e.g., ChatGPT, Claude, Gemini). Experience integrating AI into web performance workflows, including code analysis, personalization, and optimization.

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