Databricks
Data AI · Lakehouse
- HQ
- San Francisco, US
- Founded
- 2013
- Size
- 8,000+
- Website
- databricks.com
- Blog
- databricks.com
Products
Competitors
- Scale AI · Data AI
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.
Data AI · Lakehouse
Currently tracking 70 active AI roles, up 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$425k (avg $219k).
Databricks currently has 133 active AI-related roles in our index. The most common open titles are: Resident Solutions Architect - Financial Services (8), AI Engineer - FDE (Forward Deployed Engineer) (5), 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 (37%), application (26%), serving infrastructure (26%). 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 (87 roles), India (13 roles), United Kingdom (9 roles), Sweden (4 roles).
Job postings at Databricks most frequently reference: model serving, agent orchestration, inference infra, rag, llm observability.
In the past 30 days, Databricks has posted 26 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Staff Software Engineer, AI Runtime Staff Software Engineer for Databricks' AI Runtime (AIR) platform, focusing on building and scaling systems for large-scale GPU training and fine-tuning. The role involves driving architecture, performance, resilience, and developer experience for multi-node training jobs across thousands of GPUs, supporting both fine-tuning and pre-training of foundation models. | ServePretrain | 9 |
| Sr. Staff AI Research TLM - AI Systems Lead a research team focused on advancing the state of the art in large-scale machine learning, specifically in LLM training and inference efficiency, post-training techniques, RL, and optimization. The role involves defining and executing a research roadmap, driving algorithmic innovations, optimizing ML systems, and translating research breakthroughs into customer-impacting capabilities on the Databricks AI platform. Emphasis on scaling, efficiency, and systems performance for foundation models. |
| Post-trainServe |
| 9 |
| AI Engineer - FDE (Forward Deployed Engineer) AI Engineer - FDE (Forward Deployed Engineer) at Databricks, focused on building and productionizing GenAI applications for customers, acting as a technical advisor, and influencing product roadmap. Involves RAG, multi-agent systems, fine-tuning, and deployment expertise. | AgentServe | 9 |
| 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 |
| Principal Research Scientist - AI Scaling & Optimization Lead a research team focused on advancing LLM training and inference efficiency, developing novel algorithms and systems for scaling, optimization, and adaptation. The role involves defining research roadmaps, driving innovations, and translating breakthroughs into production capabilities on the Databricks AI platform. | Post-trainServe | 9 |
| Principal Research Scientist – Scaling Lead a research team focused on advancing LLM training and inference efficiency, post-training optimization, and scaling. Drive algorithmic innovations and translate research into production capabilities for the Databricks AI platform. | Post-trainServe | 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 |
| 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. | AgentData | 9 |
| PhD GenAI Research Scientist Intern Research Scientist Intern role focused on domain adaptation for LLMs and AI systems in enterprise settings. Projects involve improving and evaluating literature methods, designing new methods, composing post-training techniques, and evaluating LLMs. | Post-trainAgent | 9 |
| Specialist Solutions Architect - AI/ML Databricks is seeking an AI/ML Specialist Solutions Architect in Bengaluru, India, to guide customers in architecting production-grade ML & AI applications on their Data Intelligence Platform. The role involves advising on GenAI solutions, MLOps, agents, RAG, and optimizing AI workloads, while collaborating with product and engineering teams. | AgentServe | 8 |
| Head of AI Forward Deployed Engineering (FDE), Public Sector Lead a customer-facing AI Forward Deployed Engineering (AI FDE) team focused on helping public sector customers build and productionize GenAI applications using Databricks. This role involves leading and scaling the team, developing executive relationships, driving strategic AI initiatives, and influencing product roadmaps. | Ship | 8 |
| Senior Software Engineer, AI Runtime Databricks is seeking a Senior Software Engineer to build and scale the AI Runtime (AIR) platform, a managed system for large-scale GPU training and fine-tuning. The role involves driving the architecture and evolution of the training stack, focusing on scheduling, distributed training performance, fault tolerance, and developer experience. The engineer will solve complex problems in multi-node orchestration, GPU scheduling, data loading, and resilience for long-running jobs, aiming to improve GPU efficiency and reduce training costs. | ServePost-train | 8 |
| AI Engineer - FDE (Forward Deployed Engineer) Databricks is seeking an AI Forward Deployed Engineer (AI FDE) to join their customer-facing AI team. This role involves delivering professional services to help customers build and productionize AI applications, working cross-functionally with engineering and product teams. The FDE will develop GenAI solutions, own production rollouts, and serve as a technical advisor to customers. | AgentServe | 8 |
| 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 Specialist Solutions Architect - AI & ML Engineer Senior Specialist Solutions Architect focusing on AI & ML Engineering for Databricks customers. The role involves architecting production-grade ML/AI workloads, including GenAI solutions like RAG and agents, optimizing training and inference, and applying MLOps best practices. It requires deep technical expertise in ML/AI, customer-facing skills, and collaboration with product and engineering teams to influence the roadmap. | AgentServe | 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 |
| AI Engineer - FDE (Forward Deployed Engineer) AI Engineer (Forward Deployed Engineer) 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, and serving as a technical advisor. | Agent | 8 |
| AI Engineer - FDE (Forward Deployed Engineer) AI Engineer (Forward Deployed Engineer) 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, and serving as a technical advisor. | Agent | 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 Applied AI Engineer Senior Applied AI Engineer at Databricks focused on applying ML and optimization algorithms to improve user-facing products like AutoML, classification, regression, forecasting, and recommendations. The role involves building end-to-end systems, deploying ML/AI models, and architecting scalable ML infrastructure for training and serving. Experience with novel modeling techniques in ML for forecasting is a plus. | ShipServe | 8 |
| 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 |
| 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 |
| Specialist Solutions Architect Databricks is seeking a Specialist Solutions Architect - ML & AI Engineer in Paris to guide enterprise customers in architecting production-grade ML & AI applications on Databricks. The role involves advising on GenAI, MLOps, agents, RAG, and end-to-end ML pipelines, and collaborating with product teams. | AgentServe | 7 |
| Specialist Solutions Architect - AI/ML Databricks is seeking an AI/ML Specialist Solutions Architect to guide customers in architecting production-grade ML & AI applications on their platform, focusing on GenAI, MLOps, and end-to-end ML pipelines. The role involves serving as a trusted practitioner for enterprise GenAI solutions, including RAG, agentic systems, and AI evaluation, while also building and optimizing customer AI workloads and providing technical support during the sales process. | AgentServe | 7 |
| Staff Software Engineer, AI Native Web Platform Staff Software Engineer to own the platform layer for an AI-native web platform, including web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents. The role involves defining the technical roadmap, influencing architectural decisions, pioneering an AI-native SDLC with agentic unlocks, and defining evaluation frameworks and guardrails for agentic workflows. | AgentServe | 7 |
| 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 Fullstack Engineer, Agentic Applications Staff Fullstack Engineer role focused on architecting and building agentic systems for People Technology workflows at Databricks. The role involves defining agentic platform strategy, integrating enterprise systems as agent tools, and setting technical direction for the pod. Requires strong Python, experience with agentic frameworks, enterprise integration patterns, and data platforms. | Agent | 7 |
| Senior Specialist Solutions Engineer (AI/ML) Senior Specialist Solutions Engineer (AI/ML) at Databricks, focusing on guiding customers in architecting and implementing production-grade ML and GenAI applications on the Databricks platform. The role involves pre-sales technical expertise, building MVPs, deep-dive sessions, and thought leadership. | AgentServe | 7 |
| Sr. Manager, AI Forward Deployed Engineering (FDE) – EMEA Databricks is seeking a Sr. Manager for their Forward Deployed AI Engineering (AI FDE) team in EMEA. This customer-facing role involves leading and scaling a professional services team focused on helping customers build and productionize GenAI applications using Databricks. The manager will develop executive relationships, align with sales, lead strategic initiatives, and drive business impact through AI/ML. | Ship | 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 |
| 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 |
| 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 |
| Director, AI Forward Deployed Engineering (FDE) Lead and scale a customer-facing AI Forward Deployed Engineering (AI FDE) team at Databricks, focusing on building and productionizing GenAI applications. This role involves leading customer AI/ML transformations, managing key accounts, hiring and mentoring data scientists/ML engineers, and collaborating with Product, Research, and Engineering teams to influence the product roadmap. | Ship | 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 |
| Digital Native Go-to-Market (GTM) Leader This role leads the global go-to-market strategy for Databricks' Data and AI platforms, targeting high-growth digital native companies. The leader will act as a technical authority, engaging with CTOs and Engineering leaders, driving revenue growth, and influencing the product roadmap. Key responsibilities include scaling GTM motions, strategic sales partnerships, technical advisory, and thought leadership. Requires deep experience in the Data/AI landscape, hands-on AI system building, and strong program management skills. | Ship | 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 |
| Field Engineering, AI/ML Product Specialist Field Engineering, AI/ML Product Specialist role focused on driving adoption of Databricks AI/ML products in the APAC region. Responsibilities include defining go-to-market strategy, guiding customer architecture, presenting and demoing products, supporting field teams, and acting as a trusted advisor to senior executives. The role involves external thought leadership through conferences and content, and internal cross-functional collaboration with product management and engineering. | ShipAgent | 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 |