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 |
| Senior GenAI Research Engineer - Optimization and Kernels Databricks is seeking a Senior GenAI Research Engineer focused on optimization and kernels for AI model training. The role involves advancing the scientific frontier through new techniques, optimizing GPU kernels, and implementing distributed training frameworks for large language models. Requires strong understanding of GPU architecture, CUDA, and distributed training strategies, with proficiency in Python and PyTorch. |
| Pretrain |
| 9 |
| Staff Software Engineer - GenAI Performance and Kernel Staff Software Engineer focused on optimizing GPU kernels for GenAI inference, involving low-level compute, performance tuning, and integration with ML systems. The role requires deep expertise in GPU architecture and optimization techniques, with a focus on shipping high-performance production software. | Serve | 9 |
| Staff Software Engineer - GenAI inference Staff Software Engineer focused on the GenAI inference engine at Databricks, responsible for architecture, development, and optimization of high-throughput, low-latency LLM inference. This role involves kernel-level optimization, runtime development, orchestration, and integration with ML frameworks, bridging research advances with production demands. | Serve | 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 |
| Senior Engineering Manager, AI Runtime Senior Engineering Manager to lead a team responsible for the AI Runtime (AIR) product and its foundational infrastructure, focusing on training and fine-tuning deep learning and LLM models with on-demand GPUs for enterprise customers. This role involves defining roadmaps, driving architectural decisions, and ensuring scalability, extensibility, and performance of GPU training infrastructure. | DataPost-train | 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 |
| Software Engineer - GenAI inference Software Engineer focused on designing, developing, and optimizing the inference engine for Databricks' Foundation Model API. The role involves working on the full GenAI inference stack, including kernels, runtimes, orchestration, and memory management, to ensure fast, scalable, and efficient LLM serving systems. | Serve | 8 |
| Senior Machine Learning Engineer - GenAI Platform Hiring experienced machine learning platform engineers to build out a customer-facing generative AI platform for the ML development lifecycle, including data generation, training, evaluation, serving, and agent-building. The role involves end-to-end ownership, translating user requirements into product interfaces, and building backend distributed systems. Responsibilities span from user-facing features to low-level GPU orchestration. | ServePost-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 |
| Staff Software Engineer - AI Research Infrastructure Staff Software Engineer focused on building and operating the AI research infrastructure at Databricks. This role involves designing and implementing services for large-scale training and inference workloads, improving developer tooling, and ensuring reliability, efficiency, and security for AI research. The engineer will partner with researchers and ML engineers to create robust pipelines and influence the long-term roadmap for research computation. | Serve | 7 |
| Staff Software Engineer - AI Research Infrastructure Staff Software Engineer focused on building and operating the AI research infrastructure at Databricks. This role involves designing and implementing services for large-scale training and inference workloads, improving developer tooling, and ensuring reliability, efficiency, and security for AI research. The engineer will partner with researchers and ML engineers to create robust pipelines and influence the long-term roadmap for research computation. | Serve | 7 |
| Staff Software Engineer - AI Product (NYC) Staff Software Engineer focused on building new, 0-to-1 generative AI products and interfaces for GenAI agents that manage complex workflows, leveraging Databricks' data and AI platform. The role involves full-stack development, leading best practices, and collaborating across teams to deliver intuitive, scalable, and extensible AI solutions for both technical and business users. | ShipAgent | 7 |
| Senior Software Engineer - AI Product (NYC) Senior Software Engineer to build new AI products from the ground up in a 0-to-1 environment, focusing on GenAI agents and user interfaces. The role involves full-stack development and establishing best practices for AI products. | ShipAgent | 7 |
| Staff Backend Software Engineer- (AI Platform) Staff Backend Software Engineer for Databricks' AI Platform, focusing on Foundation Model Serving. The role involves designing and implementing high-throughput, low-latency inference systems for frontier AI models on GPU workloads, optimizing serving infrastructure, and influencing the technical roadmap for LLM APIs and runtimes at scale. Prior ML/AI experience is not required, but experience with large-scale distributed systems and operational sensitive systems is critical. | Serve | 7 |
| Staff Backend Software Engineer- (AI Platform) Databricks is seeking a Staff Backend Software Engineer for their AI Platform team, focusing on the Model Serving product. The role involves designing and building systems for high-throughput, low-latency inference across CPU and GPU workloads, optimizing performance, and ensuring scalability and reliability. The engineer will contribute to core serving infrastructure, collaborate cross-functionally, and lead technical initiatives to improve latency, availability, and cost-effectiveness. | Serve | 7 |
| Staff Backend Software Engineer- (AI Platform) Staff Backend Software Engineer for Databricks' AI Platform, focusing on the Model Serving product. The role involves designing and building scalable, low-latency inference systems for both CPU and GPU workloads, optimizing performance, and ensuring operational excellence. Key responsibilities include developing core serving infrastructure, driving architectural decisions, and collaborating across teams to deliver a world-class serving platform for enterprise AI/ML models. | Serve | 7 |
| Staff Backend Software Engineer- (AI Platform) Staff Backend Software Engineer for Databricks' AI Platform team, focusing on building and improving the infrastructure that powers AI offerings like MLflow, AI Gateway, Agent Framework, and Foundation Model APIs. The role involves improving reliability, latency, and efficiency of distributed AI workloads and collaborating with various teams to deliver seamless end-to-end AI experiences. | ServeAgent | 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 |
| Staff Backend Software Engineer Staff Backend Software Engineer on the AI Platform team at Databricks, responsible for building and improving LLM infrastructure, including model serving, agent support, and Vector Search, to power customer AI workloads. | ServeAgent | 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 |
| Sr. Engineering Manager - Customer Experience Intelligence (CXI) Senior Engineering Manager for Customer Experience Intelligence (CXI) at Databricks, leading a team to build AI-driven systems for customer and support experiences. The role focuses on improving customer interactions through AI and automation, driving business outcomes like deflection and resolution speed, and integrating AI with human expertise. | Ship | 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 Software Engineer, Search Quality Staff Software Engineer for Search Quality at Databricks, focusing on driving technical direction for ranking, relevance, evaluation, and quality initiatives for Databricks' next-generation Search product. The role involves designing and building systems, models, and evaluation frameworks for multimodal datasets and query patterns, pushing the frontier of retrieval quality for enterprise AI applications, and mentoring engineers. | ShipAgent | 7 |
| Staff Software Engineer, Foundational Model Serving Staff Software Engineer focused on building and operating high-scale, low-latency inference systems for foundational AI models (LLMs) at Databricks. The role involves designing and implementing core systems and APIs for model serving, optimizing performance on GPU workloads, and influencing architectural direction for the Foundation Model Serving product. | Serve | 7 |
| Sr. Manager, Engineering - Model Serving Lead the engineering team responsible for Databricks' Model Serving product, focusing on both customer-facing capabilities and foundational infrastructure for scalable, low-latency AI/ML model inference. | Serve | 7 |
| Senior Software Engineer, Model Serving Databricks is seeking a Senior Software Engineer to join their Model Serving product team. This role focuses on designing and building scalable, low-latency inference systems for AI/ML models (traditional ML to LLMs) on CPU and GPU. Responsibilities include optimizing performance, throughput, autoscaling, and operational efficiency, as well as contributing to core serving infrastructure components like routing, caching, and observability. The role requires strong experience in large-scale distributed systems and model serving infrastructure. | Serve | 7 |
| Staff Software Engineer, Model Serving Databricks is seeking a Staff Software Engineer to work on their Model Serving product, which is a core pillar of their platform for enterprises to deploy and manage AI/ML models. The role involves designing and building systems for high-throughput, low-latency inference across CPU and GPU workloads, influencing architectural direction, and collaborating with various teams to deliver a world-class serving platform. | Serve | 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 |
| 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 |
| Staff Backline Engineer - Data & AI Staff Backline Engineer role at Databricks focused on deep-dive troubleshooting, root cause analysis, and architectural optimization within the Databricks Data and AI ecosystem. The role involves developing automated workflows and AI-driven diagnostic tools to improve supportability and scale the organization. Requires expertise in either Data Engineering, Product Supportability, or the AI track (ML/GenAI systems, LLMs, agentic workflows). | ServeAgent | 7 |
| Sr. Manager, Field Engineering - Lakebase This role is for a Sr. Manager, Field Engineering focused on Databricks' Lakebase product. The manager will lead a team of pre-sales Solutions Architects, engaging with strategic accounts to drive adoption and consumption of Lakebase. The role requires deep technical expertise in transactional databases (OLTP) and modern data architectures, including AI-native applications, and involves partnering with sales, product, and engineering teams. The primary focus is on pre-sales support and customer engagement to ensure value realization and growth. | — | 5 |
| Resident Solutions Architect - Digital Native Business This role is for a Solutions Architect focused on helping clients implement big data and AI solutions using the Databricks platform. The role involves data engineering, data science, and cloud technology projects, with a focus on customer engagements and technical project delivery. While AI applications are mentioned, the core craft is data engineering and platform implementation, not direct AI/ML model building. | — | 5 |
| Resident Solutions Architect - Digital Native Business This role is for a Solutions Architect focused on helping clients implement big data and AI solutions using the Databricks platform. The role involves data engineering, data science, and cloud technology projects, with a focus on customer engagements and technical project delivery. While AI applications are mentioned, the core craft is data engineering and platform implementation, not direct AI/ML model building. | — | 5 |
| Engineering Manager - Data Visualization Platform Engineering Manager for Databricks' Data Visualization team, focusing on an AI-first authoring experience for business users. The role involves leading a frontend engineering team, talent development, strategic execution of the AI/BI product vision, and ensuring operational excellence for the visualization platform. Key responsibilities include managing technical debt, balancing roadmaps with agentic authoring, and collaborating with Product Management, Design, and AI Research teams. | — | 5 |
| Sr. Staff Software Engineer — Observability, Insights & Governance Databricks is seeking a Sr. Staff Software Engineer to lead strategy and execution for observability, insights, and governance on their data and AI platform. The role involves setting technical direction, designing high-impact projects, building next-generation agentic experiences for diagnostics and action, and partnering with various teams to integrate visibility and governance. The engineer will mentor senior staff, set technical standards, and champion reliable software and operational practices. Experience with large-scale distributed systems, observability, governance platforms, or databases is required, with a bonus for experience building agentic experiences using LLMs. | AgentServe | 5 |
| Sr. Staff Software Engineer — Observability, Insights & Governance Databricks is seeking a Sr. Staff Software Engineer to lead strategy and execution for observability, insights, and governance across their data and AI platform. The role involves setting technical direction, designing high-impact projects, building next-generation agentic experiences for diagnostics and action, and partnering with various teams to integrate visibility and governance. The engineer will mentor other senior engineers and champion reliable software practices. Experience with large-scale distributed systems, observability/governance platforms, and computer science fundamentals is required. Bonus points for experience with agentic experiences using LLMs. | AgentServe | 5 |
| Sr. Solutions Engineer - AI Natives Business This role is for a Sr. Solutions Engineer on the AI native team supporting the Digital Natives business. The engineer will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using the Databricks platform and APIs. They will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions. Responsibilities include partnering with the sales team, providing technical leadership, consulting on Big Data architectures, implementing proof of concepts for strategic projects spanning data engineering, data science, machine learning, and SQL analysis workflows, and validating integrations with cloud services and third-party applications. The role also involves becoming an expert in and promoting Databricks-inspired open-source projects. | — | 5 |
| Senior Data Scientist Senior Data Scientist at Databricks to build a data-driven culture by solving product and business challenges, dogfooding Databricks products, and driving future product direction. Responsibilities include usage forecasting, product analytics, user behavior analysis, stakeholder management, and mentoring junior data scientists. Requires experience applying Data Science/ML in production, familiarity with product analytics, strong coding skills (Scala/Python), and proficiency with distributed systems like Spark. | Ship | 5 |
| Lead GTM Enablement & Scale Architect, Lakebase Lead GTM Enablement & Scale Architect for Lakebase, a managed PostgreSQL database for AI applications and agents. This founding role involves creating the end-to-end enablement strategy for field engineers and partner technical sales, translating product capabilities into customer outcomes, and driving a 'builder-first' culture. Responsibilities include building scalable demo environments, establishing feedback loops with Product/Engineering, designing competitive narratives, and creating multi-format enablement assets. The role emphasizes using AI tools for content generation, building AI-powered tools for the field (agents, role-plays), and defining KPIs for field readiness. A portion of time will be spent in customer-facing interactions. Requires 8+ years of experience in solutions architecture, technical pre-sales, or enablement, with deep knowledge of databases and distributed systems, and a builder mentality. Familiarity with the data and AI ecosystem, including vector databases and AI/ML serving patterns, is expected. Nice-to-haves include experience at high-growth infrastructure companies, hands-on experience with Databricks or similar platforms, and experience building AI applications on operational databases. | Agent | 5 |
| TA Operations Associate (Contract) This role supports the day-to-day operations of a global recruiting function, focusing on maintaining and improving processes, tools, and reporting. It involves leveraging AI and automation to streamline workflows, enhance data quality, and optimize the recruitment lifecycle. Key responsibilities include leading initiatives, resolving inquiries, administering recruiting tech stack, contributing to process improvements, supporting onboarding/training, coordinating programmatic efforts, creating reports, and conducting data audits. The ideal candidate has strong organizational skills, basic project management abilities, effective communication, a detail-oriented mindset, proficiency in data analysis and reporting, adaptability, and an understanding of the recruiting lifecycle. | — | 5 |
| Delivery Solutions Architect - Public Sector This role is a Delivery Solutions Architect for Databricks' Public Sector clients. The primary focus is on accelerating the adoption and growth of the Databricks platform by providing post-sale technical leadership, ensuring customer success, and maximizing the value customers derive from their Databricks workloads. The role involves a hybrid of technical and commercial responsibilities, including engaging with customers, building executive relationships, orchestrating internal teams, and developing technical strategies and execution plans. While the company is in the AI space, this role is customer-facing and focused on platform adoption and success, rather than direct AI/ML model development or research. | — | 5 |
| Sr. Solutions Architect - Public Sector (SLED) Solutions Architect role focused on leading the adoption of the Databricks Unified Analytics Platform for public sector clients. Responsibilities include partnering with sales, providing technical leadership, consulting on big data architecture, implementing proof of concepts, building reference architectures, and promoting open-source projects. Requires experience in cloud platforms, data engineering, data analytics, and data science/ML, with a focus on customer-facing pre-sales or technical architecture roles. | — | 5 |
| Sr. Delivery Solutions Architect - High-Tech & Manufacturing This role is a hybrid technical and commercial position focused on accelerating customer adoption and success with the Databricks Data Intelligence Platform, particularly for complex customers in high-tech and manufacturing. The Solutions Architect will act as the post-sale technical lead, driving customer engagement, technical strategy, onboarding, enablement, and ensuring healthy consumption of Databricks workloads. The role requires strong technical credibility, project management, and stakeholder management skills to navigate customer organizations and internal Databricks teams. | — | 5 |