Senior AI Solutions Engineer — Forward-Deployed Data

Warner Music Group; United States; Remote; USD 79,000 - 116,000; Full time

Job summary

Warner Music Group is seeking a Senior Forward Deployed Engineer to deliver rapid data and AI solutions for diverse business stakeholders. You will work across backend, frontend, data pipelines, and AI tools to turn complex problems into streamlined workflows.

Ideal candidates have 6+ years of software engineering, strong Python, and experience with data pipelines and AI platforms like Snowflake, Databricks, Genie/Cortex, and Streamlit. A customer-focused, adaptable mindset is essential.

Qualifications

• Six years of software engineering experience, with customer exposure and Python proficiency.
• Experience with data pipelining (ETL) and Snowflake/Databricks; familiarity with Genie/Cortex Code, Notebooks, and Streamlit.
• Ability to translate complex problems for non-technical stakeholders and deliver rapid AI-powered solutions.

Responsibilities

• Deliver impact for diverse stakeholders by turning weeks of work into minutes.
• Perform full-stack engineering across backend, frontend, data pipelines, and AI tools.
• Design, build, and deploy production AI-enabled solutions for non-technical users.
• Demonstrate product sense and quickly understand problems with minimal guidance.
• Communicate clearly with stakeholders at all levels and manage expectations.

Skills

Python

Data pipelines

ETL

Snowflake

Databricks

Streamlit

Genie Code

Cortex Code

Notebooks

Tools

Python

Data pipelines

ETL

Snowflake

Databricks

Streamlit

Genie Code

Cortex Code

Notebooks

Job description

Warner Music Group is seeking a Senior Forward Deployed Engineer to deliver rapid data and AI solutions for diverse business stakeholders. You will work across backend, frontend, data pipelines, and AI tools to turn complex problems into streamlined workflows.

Ideal candidates have 6+ years of software engineering, strong Python, and experience with data pipelines and AI platforms like Snowflake, Databricks, Genie/Cortex, and Streamlit. A customer-focused, adaptable mindset is essential.