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 |
|---|---|---|
| Senior Staff Applied AI Engineer - Context Retrieval Senior Staff Applied AI Engineer focused on context retrieval for Databricks agents. The role involves building the retrieval stack (query understanding, content understanding, ranking, retrieval, evaluation) and search subagents that reason about context retrieval for enterprise SaaS data. This is a zero-to-one role requiring deep Information Retrieval expertise and experience shipping RAG and agentic workloads. | AgentEval Gate | 9 |
| Staff GenAI Research Scientist - Retrieval Staff Research Scientist focused on Information Retrieval for enterprise agents, RAG, and embeddings. The role involves defining and leading research agendas, driving algorithmic innovations, and publishing at top ML/systems conferences. | Agent |
| 9 |
| AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector AI Engineer (Forward Deployed Engineer) for Databricks' customer-facing AI team, focusing on building and productionizing GenAI applications for the U.S. Federal Sector. Requires strong experience in GenAI development (RAG, multi-agent, fine-tuning), deployment, and ML tools, with a focus on customer advisory and influencing product roadmaps. U.S. citizenship and eligibility for a secret clearance are mandatory. | AgentServe | 8 |
| Specialist Solutions Architect - AI/ML This role is for a Specialist Solutions Architect focused on AI/ML Engineering at Databricks. The individual will act as a technical expert for customers and internal teams, guiding them in architecting and deploying production-grade ML and AI applications on the Databricks platform. Key responsibilities include architecting AI workloads, serving as a practitioner for GenAI solutions (RAG, agents, evaluation), building and optimizing AI workloads with MLOps, providing advanced technical support, and influencing the product roadmap. The role requires 5+ years of hands-on ML experience and strong communication skills. | AgentServe | 8 |
| Staff Software Engineer - AI Platform (NYC) Staff Software Engineer for Databricks' AI Platform team in NYC, focusing on building new GenAI agent interfaces and end-to-end AI products from scratch in a 0-to-1 environment. Requires strong full-stack and generative AI experience, including RAG, prompt design, and production monitoring. | Agent | 8 |
| Senior Software Engineer - AI Platform (NYC) Databricks is seeking a Senior Software Engineer for their AI Platform team in NYC. This role involves creating novel GenAI agent interfaces for complex workflows, leading full-stack development, and driving the strategy for end-to-end AI feature development. The ideal candidate has 5+ years of experience in web technologies, a strong product mindset, and hands-on experience with LLMs, RAG, prompt design, and production AI monitoring. | Agent | 8 |
| Staff Machine Learning Engineer Databricks is seeking GenAI Engineers to drive the development and deployment of GenAI-powered products, focusing on enhancing LLM quality, expanding capabilities, and strengthening platform architecture. The role involves developing and implementing ML pipelines, building scalable backend systems, and working with cross-functional teams to deliver impactful AI solutions. | AgentPost-train | 8 |
| Sr. Manager – Data & AI Support Engineering Lead and manage a team of Technical Solutions Engineers focused on resolving complex customer issues across Databricks' Data & AI platforms, with a strong emphasis on building and scaling AI-enabled support workflows, agentic AI systems, and operational automations to improve issue resolution speed, platform reliability, and customer outcomes. | Agent | 7 |
| Staff Software Engineer, AI Search Staff Software Engineer for AI Search at Databricks, focusing on building and scaling next-generation Search products including Vector Search, Keyword Search, and Search Quality. The role involves driving the architecture and evolution of a high-performance, cost-efficient Search stack to enable customers to build AI applications. Responsibilities include indexing, storage, query execution, ranking, and partnering with infrastructure, product, and research teams. | AgentServe | 7 |
| Strategy & Execution Manager, GTM Databricks is seeking a Strategy & Execution Manager, GTM to operationalize Services and Enablement strategy using AI. This role involves architecting AI-driven operations, building AI agents to automate workflows, and shipping end-to-end AI solutions. The candidate will leverage the modern AI and data stack, including prompt engineering, RAG, agent orchestration, and evaluation frameworks, to streamline delivery and improve margins. | Agent | 7 |
| Sr Software Engineer- Customer Experience Intelligence (CXI) Sr. Software Engineer to build AI-powered systems for customer support, focusing on intelligent automation, agentic workflows, and improving customer experience at scale. This role involves contributing to the technical vision, developing automation, and implementing observability for AI-driven decisions within Databricks' Support Automation and Tooling ecosystem. | Agent | 7 |
| Staff Software Engineer – Customer Experience Intelligence (CXI) Staff Software Engineer to lead the design and development of AI-powered systems for customer support automation and agentic workflows. This role involves end-to-end ownership of technical strategy, building systems that anticipate customer needs, and implementing observability for AI-driven decisions. The goal is to improve customer experience and support scalability. | Agent | 7 |
| Staff Security Detection Engineer Staff Security Detection Engineer at Databricks responsible for designing and implementing scalable intrusion detection solutions using machine learning and log analysis. The role involves optimizing log ingestion, developing anomaly-based and ML-driven detection strategies, and integrating these with the Databricks platform. It requires strong software engineering skills, cloud security expertise, and familiarity with distributed computing and ML. | Agent | 7 |
| Staff Data Scientist - Trust and Safety Staff Data Scientist focused on Trust and Safety at Databricks, developing and implementing ML models for fraud and abuse detection, analyzing security features, and collaborating with engineering and security teams to protect the platform and customers. The role involves creating compliance solutions, gathering requirements, and guiding junior team members. | Agent | 7 |
| Sr. Product Manager, Databricks AI Product Manager to define and drive the vision for Databricks' enterprise AI offerings, focusing on generative AI, agents, and new workloads. The role involves partnering with engineering and research to turn AI advancements into practical products, engaging with customers to uncover use cases, and shaping the long-term strategy for Databricks AI. | Agent | 7 |
| Sr. Product Manager, Databricks AI Product Manager for Databricks AI, focusing on defining and driving the vision for enterprise AI, generative AI, and agents. The role involves partnering with engineering and research to turn AI advancements into practical tools, uncovering new use cases, and building products for scale and longevity. Requires strong technical background in AI/ML and experience with enterprise SaaS or developer platforms. | Agent | 7 |
| Staff Software Engineer - Customer Engagement & Docs Platform Databricks is seeking a Staff Software Engineer to work on their AI-powered Assistant, focusing on customer engagement and documentation platform. The role involves leveraging ML and LLMs to analyze technical use cases, identify problems, and provide solutions or facilitate escalation. Key responsibilities include leading the design, development, and deployment of systems for evaluation, answer retrieval, and quality improvement, as well as driving engineering best practices and contributing to technical planning. | AgentEval Gate | 7 |
| Sr. Manager, Engineering - Search Senior Engineering Manager for Search at Databricks, responsible for building and scaling next-generation Search products including Vector Search, Keyword Search, and Search Quality. The role involves leading a team to design, build, and operate cloud-native Search services, drive innovation in search capabilities, and partner with product and research teams on roadmap definition. The position also includes managing large-scale services, mentoring engineers, and shaping the long-term strategy for Search as a core enabler for AI and data applications. | AgentEval Gate | 7 |