Senior AI Engineer (Databricks)

7-10 years of overall experience in software engineering or related discipline.

3-5 years of ML/AI engineering experience in high-velocity, high-growth companies.

2+ years of experience with Databricks, Mosaic AI Gateway and associated technologies in Databricks stack related to Data and AI engineering

Strong track record of working with language modeling technologies and GenAI.

This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, evaluation benchmarks, Agents and Agentic workflows (e.g.

orchestration, workflow management, observability, debugging), RAG, SQL Agents, MCP, etc.

As a Senior AI Engineer, you will help architect, build and implement our AI platforms, working closely with data quality engineers, data/software engineers, platform engineers, DevOps, product owners and business.

You provide technical leadership for multiple, diverse, and geographically distributed teams.

Also be a partner with engineering managers, directors and VP on strategic initiatives and future business growth opportunities especially around AI and ensuring the engineering organization can scale to meet the need.

As a member of the engineering team, you are responsible for coaching, mentoring, and driving change to enable us to deliver and innovate in an agile environment.