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 |
|---|---|---|
| AI Engineer - FDE (Forward Deployed Engineer) AI Engineer - Forward Deployed Engineer (FDE) at Databricks, focused on delivering professional services to help customers build and productionize GenAI applications. This role involves developing cutting-edge GenAI solutions, owning production rollouts, serving as a technical advisor, and collaborating with product/engineering teams. Requires experience building GenAI applications (RAG, multi-agent systems, Text2SQL, fine-tuning) and deploying production-grade GenAI applications. | AgentPost-train | 8 |
| Staff Software Engineer - Machine Learning (Search) Staff Software Engineer focused on Machine Learning for Search at Databricks. The role involves developing and deploying ML-based search and discovery relevance models, enhancing search ranking, improving query understanding, building robust evaluations, and applying LLMs to search relevance. The goal is to enable seamless search at scale for Databricks customers. |
| ShipEval Gate |
| 8 |
| Staff Software Engineer (Search Ranking) Staff Software Engineer role focused on enhancing search ranking and query understanding for Databricks' AI/ML-powered products. The role involves developing and deploying ML-based search relevance models, designing NLP pipelines, and contributing to evaluation frameworks for search quality. | AgentEval Gate | 8 |
| Solutions Architect - Field Engineering (GCC) Solutions Architect for Databricks' Field Engineering team, focusing on advising large enterprise and global AI-forward SaaS customers on leveraging the Databricks Data Intelligence Platform for data engineering, analytics, and AI/ML, including GenAI. The role involves designing architectures, implementing proofs of concept, and driving customer adoption of Databricks solutions. | Agent | 7 |
| Senior Staff Software Engineer- Search Quality Databricks is seeking a Senior Staff Software Engineer for Search Quality to build the contextual backbone for AI agents and improve traditional search experiences. The role involves hybrid retrieval, dual-optimization of ranking models, ensuring high-stakes accuracy for AI, and handling data heterogeneity. The ideal candidate is an IR specialist with expertise in embeddings, ranking algorithms, and evaluation frameworks, bridging traditional IR with RAG. | AgentEval Gate | 7 |
| Staff Software Engineer- Search Quality Databricks is seeking a Staff Software Engineer for Search Quality to build and optimize the retrieval backbone for both AI agents and human users. This role involves hybrid retrieval (keyword and semantic search), dual-optimization of ranking models, ensuring high-stakes accuracy for AI grounding, and handling data heterogeneity. The engineer will apply IR principles to RAG systems and build evaluation frameworks for relevance metrics. | AgentEval Gate | 7 |
| Senior Software Engineer - Search Databricks is hiring ML Engineers to enhance their Search product quality, focusing on search ranking, query understanding, and building robust evals. The role involves developing and deploying ML-based search and discovery relevance models and systems, designing ML/NLP pipelines, and collaborating with product teams. Experience with LLMs in search relevance and developing large-scale search relevance systems is required. | Ship | 7 |