AI Software Engineer

From the moment you wake up until you go to bed almost every piece of media you consume every app you use and every online purchase you make involves an Adobe product. Customer Journey Analytics is the premier solution that helps marketers understand customer behavior through precise timely and insightful data uncovering the most valuable segments and channeling those insights to run an entire business.

Were looking for an AI Software Engineer to build and improve the data and service foundations behind Customer Journey Analytics. This is not a pure AI role and not a traditional big-data role we want engineers who recognize that AI systems depend heavily on the quality of the platforms supporting them.

• 35 years of hands-on experience with distributed systems backend services or data platforms.

• Experience with event streaming (Kafka Flink Kinesis or similar) and data pipelines (Spark Databricks or comparable).

• Familiarity with production operations: Kubernetes CI/CD monitoring alerting and incident response.

• Strong engineering fundamentals (Java preferred; Python familiarity a plus).

• A pragmatic approach: you care about correctness performance reliability and cost not just features.

• Design and develop components and subsystems within the data platform taking on features of moderate complexity.

• Work across multiple domains and modules debugging integration issues recognizing dependencies and understanding how your work fits into the larger system.

• Write quality code that meets team standards own test plans for your features and deploy and validate your work in production.

• Collaborate with product management design and data science to turn requirements into testable solutions.

You do not need qualifications as an AI researcher. You do need to be comfortable using development tools enhanced by AI within established standards and apply AI techniques to improve workflows with measurable product value. You should think critically about observability and failure modes for AI-assisted features and care about responsible AI principles when shipping user-facing functionality.

AI here is embedded within the system not a nice-to-have.

Scala; Jenkins/Argo or similar CI/CD tooling; observability tools (Prometheus Grafana Splunk); experience with high-traffic systems; prior exposure to LLM APIs or AI-powered services in production.

Youll work on a stable widely used product not a greenfield experiment. Youll operate real systems with real customers and real consequences. And youll grow rapidly across domains with increasing independence and impact.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity productivity and personalized customer experiences. Adobes 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 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. Were 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.

Lets Adobe together

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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 its restricted during live interviews. See how we think about AI in the hiring experience.