Adobe Systems

6 days ago

Agentic Outcome Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Join the Experience Success Engineering team to architect intelligent web performance using agentic systems and AI-powered automation. You’ll apply ML/LLMs to analyze site telemetry, build autonomous agents that implement and validate optimizations via Core Web Vitals and SEO metrics, and collaborate with engineering teams to embed AI capabilities into Adobe Experience Manager and Site Optimizer. Use predictive modeling, dashboards, and observability to drive continuous, data-driven improvements at scale.

Location: Noida

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Deploy agentic systems and AI-powered automation to improve web infrastructure, performance, and adaptability without manual intervention.
•Use machine learning and LLMs to analyze site telemetry, identify performance bottlenecks, and generate code-level improvements using AEM Sites Optimizer and custom AI pipelines.
•Build and refine self-learning systems that monitor, diagnose, and resolve performance issues across large-scale web ecosystems using AI feedback loops.
•Develop autonomous agents that implement optimization tasks, validate outcomes via Core Web Vitals and SEO metrics, and adapt based on user engagement signals.
•Use AI for predictive modeling and technical audits to forecast outcomes, simulate scenarios, and align technical decisions with digital goals; create AI-enhanced dashboards and predictive analytics for decision-making.

Key Requirements

•7-10 years of industry experience in relevant areas.
•Strong foundation in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and LLMs (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 Adobe Experience Manager (AEM).
•Knowledge of browser performance, caching strategies, and CDN tuning, plus RUM/observability tools and ability to deploy AI models in production.

Experience:7-10 years

Skills:CollaborationDesignDeployment and monitoringData-driven problem solvingOptimization focus

Tech Stack:TensorFlowPyTorchScikit-learnChatGPTClaudeGeminiAEM Sites OptimizerAdobe Experience ManagerHTMLCSSJavaScriptJavaCore Web VitalsSEO metricsReactAngularVue.jsRESTGraphQLAI-enhanced observability

Company Brief

Adobe Systems

Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Adobe Systems

6 days ago

Agentic Outcome Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Noida

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Deploy agentic systems and AI-powered automation to improve web infrastructure, performance, and adaptability without manual intervention.
•Use machine learning and LLMs to analyze site telemetry, identify performance bottlenecks, and generate code-level improvements using AEM Sites Optimizer and custom AI pipelines.
•Build and refine self-learning systems that monitor, diagnose, and resolve performance issues across large-scale web ecosystems using AI feedback loops.
•Develop autonomous agents that implement optimization tasks, validate outcomes via Core Web Vitals and SEO metrics, and adapt based on user engagement signals.
•Use AI for predictive modeling and technical audits to forecast outcomes, simulate scenarios, and align technical decisions with digital goals; create AI-enhanced dashboards and predictive analytics for decision-making.

Key Requirements

•7-10 years of industry experience in relevant areas.
•Strong foundation in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and LLMs (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 Adobe Experience Manager (AEM).
•Knowledge of browser performance, caching strategies, and CDN tuning, plus RUM/observability tools and ability to deploy AI models in production.

Experience:7-10 years

Skills:CollaborationDesignDeployment and monitoringData-driven problem solvingOptimization focus

Company Brief

Adobe Systems

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor