Agentic Outcome Engineer

Imagine building self‑learning systems that automatically boost site speed and SEO across the modern web. This role leverages cutting‑edge AI to transform Adobe’s digital experiences without manual intervention. What You'll Do Deploy AI-driven agents to monitor and auto‑resolve web performance issues. Analyze site telemetry with ML models to pinpoint bottlenecks and generate code fixes. Build self‑learning pipelines that continuously improve Core Web Vitals and SEO metrics. Integrate AI feedback loops into Adobe Experience Manager and Site Optimizer platforms. Create predictive models to simulate optimization scenarios and guide technical decisions. Develop AI‑enhanced dashboards that translate performance data into actionable insights. Collaborate with engineering teams to embed automation into headless frameworks and APIs. What You Need Strong proficiency with AI/ML frameworks (TensorFlow, PyTorch, Scikit‑learn). Experience applying LLMs (ChatGPT, Claude, Gemini) to web performance pipelines. Front‑end expertise in HTML, CSS, JavaScript, and Java. Deep knowledge of browser performance, caching, and CDN tuning. Hands‑on experience with Adobe Experience Manager and Site Optimizer. Familiarity with Real User Monitoring tools and AI‑enhanced observability. Ability to design, deploy, and monitor production AI models. Good to Have Degree in Computer Science, Data Science, or related field. Proven track record of AI‑driven web performance optimization at scale. Experience building autonomous systems for Fortune 500 digital platforms. Exposure to LLM‑based SEO strategies (e.g., GMO). The Opportunity You’ll join Adobe’s Experience Success Engineering team, shaping AI‑powered web performance for flagship products while working in a culture that champions creativity, diversity, and impact.