Databricks

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Role focuses on architecting and guiding customers in building production-grade ML & AI applications, with a strong emphasis on GenAI solutions like RAG and agentic systems, and MLOps. The role involves deep technical expertise in end-to-end ML pipelines, training/inference optimization, and integrating with cloud services, serving as a trusted technical expert for customers and internal teams.

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.