Senior Software Engineer - Experience League Knowledge Platform & GenAI Services

• Design and build backend services and APIs that expose Experience League content as a managed knowledge platform for downstream consumers such as product knowledge agents and AI Assistant.
• Replace adhoc content ingestion approaches with scalable, governed knowledge access patterns suitable for agentic workflows.
• Build and operate knowledge management services, including metadata, taxonomy, and structured representations (such as knowledge graphs), to improve retrieval quality for AI agents and assistants.
• Build services that support agentic workflows, including content retrieval, enrichment, versioning, feedback loops, and quality signals used by AI agents.
• Evolve the content publishing pipeline to make Experience League content AIready by design, supporting structured data, tagging, and faster availability for GenAI consumers.
• Take ownership of ambiguous, crosscutting problem spaces in knowledge and GenAI platforms, shaping solutions from early design through production adoption.
• Raise the operational bar for shared GenAI and knowledge services through automation, monitoring, and incident learning.
• Improve the scalability, reliability, and maintainability of systems that transform authored content into consumable knowledge assets.
• Apply CDN expertise to ensure globally distributed, lowlatency access to knowledge content for both human and machine consumers.
• Build and operate containerized services using Docker and Kubernetes, applying cloudnative patterns for resilience, observability, and safe deployment.
• Influence adoption of shared knowledge and GenAI services by working closely with product, content, and platform teams to define clear integration patterns and success metrics.

• 6+ years of professional software engineering experience, including handson experience delivering GenAIpowered services used by other teams, with exposure to agentbased or retrievalaugmented (RAGstyle) workflows.
• Seniorlevel experience building and operating largescale backend or platform services, with strong ownership of reliability and performance.
• Practical understanding of GenAI production concerns, including evaluation, quality, observability, safety, and cost tradeoffs.
• Strong handson expertise with backend services and API design.
• Production experience with Kubernetes, Docker, and MongoDB Atlas, including schema design, indexing, and performance tuning.
• Ability to work across teams and influence platform adoption through clear communication and technical leadership.

• Experience building knowledge management systems or content platforms used by both humans and AI.
• Experience integrating with AEM / EDS or largescale content authoring systems.
• Experience with CDNbased optimization strategies for globally distributed content delivery.
• Familiarity with shared GenAI service models, such as service catalogs, onboarding patterns, or governance frameworks.

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

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Expected Pay Range:

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

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California:

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Colorado:

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