Senior Data Science Engineer, Genai Platforms & Data Infrastructure
Adobe
Base: $133,100 - $236,400 annually (varies by loca...
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8+ years in data engineering or ml engineering
Production work with python, sql, spark, databricks
Hands-on genai/llm systems including agents and rag
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Adobe is seeking a Senior Data Science Engineer focused on building AI and data infrastructure for its Digital Experience business. The role involves designing and implementing data pipelines, LLM-powered agents, and ensuring data quality, with a strong emphasis on hands-on engineering and collaboration across teams.
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Job Summary
This role focuses on building practical AI and data systems for Adobe's Digital Experience business, specifically targeting GenAI agents and customer intelligence products.
Candidates will own platform components such as data ingestion, orchestration, semantic layers, and tool integrations while improving GenAI quality through evaluation and feedback loops.
The position requires strong engineering practices including Git, CI/CD, and code review to ship reliable AI-enabled workflows into production.
Matching Summary
Match Score: 75
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Adobe is seeking a Senior Data Science Engineer focused on building AI and data infrastructure for its Digital Experience business. The role involves designing and implementing data pipelines, LLM-powered agents, and ensuring data quality, with a strong emphasis on hands-on engineering and collaboration across teams.
**
Salary
Base: $133,100 - $236,400 annually (varies by location); Short-term incentives: Annual Incentive Plan (AIP); Long-term incentives: Eligible for new hire equity award
Skills & Requirements
Must-have
8+ years in data engineering or ML engineering
Production work with Python, SQL, Spark, Databricks
Hands-on GenAI/LLM systems including agents and RAG
Strong knowledge of data modeling and lineage
Experience with distributed data processing
Nice-to-have
Internal AI platform experience
LLM evaluation and prompt design expertise
Azure, AWS, or GCP cloud deployment patterns
Vector databases and semantic search knowledge
Customer health and retention domain knowledge
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
Equivalent practical experience to a Bachelor's degree
Ability to navigate ambiguity and prioritize high-impact work