Adobe Customer Solutions is hiring a Senior Data Science Engineer to build practical AI and data systems for Adobe's Digital Experience business. The role focuses on the infrastructure behind GenAI agents, customer intelligence products, and field productivity workflows. This is a hands-on engineering role that requires building data pipelines, feature workflows, and platform services using Python, SQL, Spark, Databricks, Delta Lake, APIs, and cloud tools.
Requirements
- 8+ years in data engineering, machine learning engineering, data science engineering, analytics engineering, platform engineering, or a related technical role
- Production work with Python, SQL, Spark, Databricks, Delta Lake, distributed data processing, and workflow orchestration
- Hands-on work with GenAI or LLM systems, including agents, copilots, retrieval-augmented generation, semantic search, tool/function calling, prompt workflows, or AI automation
- Strong knowledge of data modeling, data quality, lineage, access control, observability, and scalable pipeline design
- Ability to guide work from discovery through architecture, development, deployment, monitoring, adoption, and iteration
- Good judgment on when to prototype, when to harden for production, and how to manage technical debt
- Clear communication with technical teams, business stakeholders, and senior leaders
- Ability to work independently, navigate ambiguity, prioritize high-impact work, and deliver in a fast-moving environment
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related field, or equivalent practical experience
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
