Senior Data Science Engineer, GenAI Platforms & Data Infrastructure

Job description

The Opportunity

Adobe Customer Solutions is hiring a Senior Data Science Engineer to build practical AI and data systems for Adobe’s Digital Experience business.

This role focuses on the infrastructure behind GenAI agents, customer intelligence products, and field productivity workflows. The work includes data pipelines, Databricks workflows, LLM-powered agents, reusable platform services, and systems that help teams understand customer health, retention, growth, adoption, and value.

This is a hands-on engineering role. The team needs someone who can take an unclear business problem, shape the technical approach, build the data foundation, and ship reliable AI-enabled workflows into production. It is a great opportunity for someone who likes building systems that people use every day!

What You’ll Do

In this role, you’ll build and operate data and AI infrastructure used by Customer Success, Customer Engineering, Professional Services, and go-to-market teams.

You will:

• Build production data pipelines, feature workflows, and platform services using Python, SQL, Spark, Databricks, Delta Lake, APIs, and cloud tools.
• Create LLM-powered agents and AI workflows that summarize customer signals, generate insights, recommend actions, and reduce manual work.
• Own platform components such as data ingestion, orchestration, semantic layers, tool integrations, access patterns, monitoring, and reliability.
• Combine structured and unstructured data from usage, adoption, support, success, value, account, and operational systems.
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