Agentic Outcome Engineer
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.
Proficiency in front-end engineering (HTML, CSS, JavaScript, Java) and CMS platforms like Adobe Experience Manager.
Deep understanding of browser performance, caching strategies, and CDN tuning.
Familiarity with Real User Monitoring (RUM) tools and AI-enhanced observability platforms.
Ability to design, deploy, and monitor AI models in production environments.
Knowledge of headless frameworks (React, Angular, Vue.js) and API-first implementations (REST, GraphQL).
Bonus Points
Degree or equivalent experience in Computer Science, Data Science, or a related field is preferred.
Proven success applying AI to optimize web performance at scale.
Experience building autonomous systems for Fortune 500 digital platforms.
Experience in LLM based SEO i.e. GMO
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
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AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.