Databricks currently has 122 active AI-related job listings. The majority of these roles are focused on agents, accounting for 37% of the total, followed by serving infrastructure at 25% and application at 24%. Engineering is the dominant function, with 106 listings. The company is primarily hiring in the United States, with 80 roles, and India, with 12 roles. Frequent technology tags include model serving, agent orchestration, and inference infrastructure. In the last 30 days, Databricks has posted 25 new AI roles, representing a 39% increase compared to the previous 30-day period.
Currently tracking 70 active AI roles, with 152 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$425k (avg $219k).
Databricks currently has 131 active AI-related roles in our index. The most common open titles are: AI Engineer - FDE (Forward Deployed Engineer) (10), Resident Solutions Architect - Financial Services (8), Senior Solutions Architect - Lakewatch (5), Staff Backend Software Engineer- (AI Platform) (4), Data & AI Platform Architect (Professional Services) (3). Most positions are in Engineering and Product.
Databricks's active AI hiring is concentrated in: agents (39%), serving infrastructure (24%), application (23%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Databricks is hiring AI talent in: United States (83 roles), India (12 roles), United Kingdom (8 roles), Germany (5 roles).
Job postings at Databricks most frequently reference: model serving, agent orchestration, rag, inference infra, llm observability.
In the past 30 days, Databricks has posted 30 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Site Reliability Engineer Site Reliability Engineer role focused on building and maintaining IT infrastructure, including cloud platforms, CI/CD pipelines, and observability. The role involves architecting and automating infrastructure using IaC, optimizing system performance, and ensuring high availability. A key responsibility is building internal AI plugins and automation scripts to improve developer workflows and operational efficiency, while also focusing on incident response and cross-functional collaboration. | — | 0 |
| Scale Solutions Engineer This role focuses on guiding customers through the onboarding and deployment of the Databricks platform in their production environments, providing technical assistance and ensuring a positive customer experience. It requires knowledge of data engineering, data warehousing, and cloud platforms, with a bonus for Data Science and ML experience. | — | 0 |
| Manager, Executive Support Manager for Executive Support Center of Excellence in Costa Rica, responsible for developing EAs and building processes to support executives. Requires operational leadership, excellent communication, and experience managing 10+ executive assistants. |
| — |
| 0 |
| Scale Solution Engineer Databricks is seeking a Scale Solution Engineer to advise customers on onboarding and deploying the Databricks platform in their production environments. The role involves providing technical assistance, guiding customers on technical decisions, and managing multiple customer engagements concurrently. Requires experience in data engineering or data warehousing technologies, knowledge of public cloud platforms, and programming skills. Bonus for Data Science and ML experience. | — | 0 |
| Executive Assistant Executive Assistant role at Databricks, a data and AI company, supporting senior leadership in Costa Rica and the US. Responsibilities include complex calendar management, travel and event coordination, and serving as a liaison. | — | 0 |
| Senior Technical Solutions Engineer, Platform This role provides technical support for Databricks Platform issues, assists customers with the Databricks unified analytics platform, and guides them to achieve value and strategic goals. Responsibilities include troubleshooting complex customer issues, providing best practices for custom solutions, suggesting performance improvements, assisting with third-party integrations, coordinating with engineering teams, and creating documentation. Requires 4+ years of experience with Python/Java/Scala applications, SQL, Linux/Unix administration, and cloud platforms (AWS/Azure/GCP). | — | 0 |