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 |
|---|---|---|
| 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 |
| Senior GenAI Research Scientist - AI Efficiency & Optimization Research Scientist focused on foundation model efficiency in training and inference, optimizing ML systems for distributed training, memory, and compute efficiency. Requires MS/PhD in CS with ML/systems foundations, Python/PyTorch expertise, and a publication record in top ML/systems conferences. |
| PretrainServe |
| 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 |
| AI Engineer - FDE (Forward Deployed Engineer) - Public Sector AI Engineer (Forward Deployed Engineer) for Databricks' federal sector team, focusing on building and productionizing GenAI applications for government customers. This role involves acting as a technical advisor, developing cutting-edge solutions using Mosaic AI research, and owning production rollouts of GenAI applications. Requires experience with RAG, multi-agent systems, fine-tuning, and deploying ML models on cloud platforms. | AgentServe | 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 |
| AI Engineer - FDE (Forward Deployed Engineer) AI Engineer - Forward Deployed Engineer (FDE) role focused on delivering professional services to help customers build and productionize first-of-its-kind AI applications. This involves developing GenAI solutions, owning production rollouts, serving as a technical advisor, and collaborating with product/engineering teams. Requires experience building and deploying GenAI applications (RAG, multi-agent, fine-tuning) and production ML deployments. | AgentServe | 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 |
| 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 |
| Sr. Manager, Engineering - AI Gateway (LLM Inference) Sr. Manager of Engineering to lead teams building the Databricks AI Gateway, an enterprise control plane for governing, routing, and monitoring LLM endpoints, coding agents, and model serving endpoints. The role involves launching and growing new products, focusing on standardizing, securing, and observing LLM inference traffic while managing cost, performance, and quality. | ServeAgent | 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 |
| AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector Databricks is seeking an AI Engineer (Forward Deployed Engineer) for their customer-facing AI team, focusing on building and productionizing GenAI applications for the U.S. Federal Sector. The role involves developing cutting-edge GenAI solutions, owning production rollouts, serving as a technical advisor, and collaborating with product/engineering teams. Requires experience in building GenAI applications (RAG, multi-agent systems, fine-tuning) and deploying production-grade ML on cloud platforms (AWS, Azure, GCP). | 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 |
| 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 |
| Sr. Developer Advocate, Databricks AI Agentic Systems Senior Developer Advocate focused on AI Agentic Systems, driving adoption and technical discourse for Databricks' AI offerings. Responsibilities include defining advocacy strategy, creating production-grade reference implementations, developing educational content, influencing product direction, and building the MLOps/LLMOps community. Requires deep technical expertise in Generative AI, MLOps, Python, ML frameworks, LLMOps orchestration tools, and the Databricks platform. | Agent | 8 |
| Sr. 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 novel data collection, fine-tuning, and LLM technologies, designing ML pipelines, and building scalable backend systems for GenAI products. | AgentPost-train | 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 |
| Specialist Solutions Architect - AI/ML (Communications, Media, Entertainment & Games) This role involves architecting and guiding customers in building production-grade ML & AI applications on the Databricks platform, with a focus on GenAI solutions like RAG, agentic systems, and end-to-end ML pipelines. The Solutions Architect will act as a trusted technical expert, optimizing customer AI workloads, providing advanced technical support, and influencing the product roadmap. | AgentServe | 7 |
| Sr. Manager, 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 |
| 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 Product Manager, AI Platform Staff Product Manager for Databricks' AI Platform, focusing on driving the vision and roadmap for AI/ML infrastructure products that enable enterprises to build, train, deploy, and monitor AI systems. The role involves deep technical collaboration with engineering, customer engagement, and commercialization strategy for AI platform features, aiming to make it easier for enterprises to put AI into production. | ShipServe | 7 |
| Staff Product Manager, AI Platform Staff Product Manager for Databricks' AI Platform, focusing on the infrastructure that powers machine learning and AI at scale. The role drives the vision and roadmap for AI platform product areas, enabling enterprises to build, train, deploy, and monitor AI/ML systems. It involves deep technical collaboration, customer engagement, and commercialization strategy for AI platform features. | ServeAgent | 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 |