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 Adobes 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 Youll Do

In this role youll 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.
• 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.

A few questions this role will help answer: Which customer signals matter most Where can AI remove repetitive work How should agents connect to trusted data What platform capability would help multiple teams move faster

What You Need to Succeed

Strong candidates bring data engineering depth GenAI fluency platform thinking and strong delivery judgment.

Required qualifications:

• 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.
• Bachelors or Masters degree in Computer Science Data Science Engineering Statistics Mathematics or a related field or equivalent practical experience.

Preferred Qualifications

Helpful additional experience includes:

• 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.

What Success Looks Like

In the first 90 days this person will 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 this person will own one or more foundation areas such as agent infrastructure customer intelligence pipelines orchestration data quality or reusable AI workflow services.

Over time this role will help Adobe Customer Solutions move from individual AI prototypes to governed production-grade systems that improve customer outcomes and field productivity across the business.

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

At Adobe we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life including our values and culture focus on people purpose and community Adobe for All comprehensive benefits programs the stories we tell the customers we serve and how you can help us advance our mission of empowering everyone to create.

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. Learn more.

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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.

Expected Pay Range:

At Adobe for sales roles starting salaries are expressed as total target compensation (TTC base commission) and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting) the application window will remain open until at least the date and time stated above in Pacific Time in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location no specific application window applies and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.