Senior Data Science Engineer, GenAI Platforms & Data Infrastructure

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.

In this hands‑on engineering role, you’ll take an unclear business problem, shape the technical approach, build the data foundation, and ship reliable AI‑enabled workflows into production.

• 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.
• Improve GenAI quality through evaluation, retrieval design, prompt and tool design, feedback loops, and production monitoring.
• Strengthen data quality, lineage, alerting, access control, governance, and operational support.
• Partner with product, engineering, data science, business operations, and customer‑facing teams to turn priority problems into working systems.
• Apply strong engineering practices through Git, code review, CI/CD, Databricks Repos, documentation, and reproducible development.

• 8+ years in data engineering, machine learning engineering, data science engineering, analytics engineering, platform engineering, or a related technical role.
• Production experience with Python, SQL, Spark, Databricks, Delta Lake, distributed data processing, and workflow orchestration.
• Hands‑on experience 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.

• Internal AI platforms, agent platforms, customer intelligence systems, or reusable data infrastructure.
• LLM evaluation, prompt evaluation, model monitoring, human feedback loops, AI governance, or responsible AI practices.
• Azure, AWS, or GCP, including secure deployment patterns and service integrations.
• Databricks Workflows, Airflow, Dagster, or similar orchestration tools.
• APIs, microservices, event‑driven workflows, or application integrations.
• Vector databases, embeddings, semantic search, knowledge graphs, graph databases, Elastic Stack, Kafka, or Kinesis.
• Customer health, retention, adoption, growth, value realization, or enterprise SaaS operating models.
• Adobe Experience Cloud, Adobe Experience Platform, Adobe Analytics, Customer Journey Analytics, or related Digital Experience products.

• In the first 90 days, learn the core data and AI platform landscape, contribute to priority GenAI and data infrastructure work, and take ownership of meaningful production components.
• Within six months, own one or more foundation areas such as agent infrastructure, customer intelligence pipelines, orchestration, data quality, or reusable AI workflow services.
  
  Over time, help Adobe Customer Solutions move from individual AI prototypes to governed, production‑grade systems that improve customer outcomes and field productivity across the business.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.