Databricks

AI Engineer (Forward Deployed Engineer) at Databricks, focused on customer-facing GenAI solutions. This role involves building and productionizing AI applications using techniques like RAG, multi-agent systems, and fine-tuning, and deploying them on cloud platforms. The role requires strong data science experience and acting as a technical advisor to customers.

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.

AI Engineer - FDE (Forward Deployed Engineer) at Databricks, focused on building and productionizing GenAI solutions for customers, including RAG, multi-agent systems, and fine-tuning. The role involves serving as a technical advisor, owning production rollouts, and collaborating with product/engineering teams. Requires experience in GenAI application development, deployment, evaluation, and optimization, along with ML deployment on cloud platforms.

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.

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.

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.

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.

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.

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.

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.

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.

Databricks is seeking a Senior Staff Software Engineer for Search Quality to build the contextual backbone for AI agents and improve traditional search experiences. The role involves hybrid retrieval, dual-optimization of ranking models, ensuring high-stakes accuracy for AI, and handling data heterogeneity. The ideal candidate is an IR specialist with expertise in embeddings, ranking algorithms, and evaluation frameworks, bridging traditional IR with RAG.

Databricks is seeking a Staff Software Engineer for Search Quality to build and optimize the retrieval backbone for both AI agents and human users. This role involves hybrid retrieval (keyword and semantic search), dual-optimization of ranking models, ensuring high-stakes accuracy for AI grounding, and handling data heterogeneity. The engineer will apply IR principles to RAG systems and build evaluation frameworks for relevance metrics.

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.

Product Manager to own AI-powered GTM agents end-to-end, defining product strategy, roadmap, and partnering with the AI Ops builder team on delivery. The role translates field reality into a product roadmap that improves how Databricks sells.

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.

Seeking an experienced Resident Solutions Architect to work with strategic customers on data and AI transformation initiatives using the Databricks platform. The role involves serving as a trusted technical advisor and hands-on expert to solve complex big data challenges, with a focus on guiding customers in their AI initiatives.

This role is for a Senior Solutions Architect focused on the Lakewatch product line at Databricks, which deals with AI/ML applications in cybersecurity. The architect will guide strategic customers in implementing big data and AI solutions, focusing on anomaly detection, behavioral analytics, and agentic AI workflows. They will collaborate with account teams, provide technical leadership, enable clients through workshops and POCs, and influence the product roadmap by translating field insights into strategic recommendations. The role requires strong experience in cybersecurity engineering, SIEM platforms, and designing customer-facing security solutions, with an emphasis on data and AI applications within cybersecurity.

This role is for a Senior Solutions Architect focused on the Lakewatch product line at Databricks, which deals with AI/ML applications in cybersecurity. The architect will guide strategic customers in implementing big data and AI solutions, focusing on anomaly detection, behavioral analytics, and agentic AI workflows. They will collaborate with account teams, provide technical leadership, enable clients through workshops and POCs, and influence the product roadmap by translating field insights into strategic recommendations. The role requires strong experience in cybersecurity engineering, SIEM platforms, and designing customer-facing security solutions, with an emphasis on data and AI applications within cybersecurity.

This role is for a Senior Solutions Architect focused on the Lakewatch product line at Databricks, which deals with AI/ML applications in cybersecurity. The architect will guide strategic customers in implementing big data and AI solutions, focusing on anomaly detection, behavioral analytics, and agentic AI workflows. They will collaborate with account teams, provide technical leadership, enable clients through workshops and POCs, and influence the product roadmap by translating field insights into strategic recommendations. The role requires strong experience in cybersecurity engineering, SIEM platforms, and designing customer-facing security solutions, with an emphasis on data and AI applications within cybersecurity.

This role is for a Senior Solutions Architect focused on the Lakewatch product line at Databricks, which deals with AI/ML applications in cybersecurity. The architect will guide strategic customers in implementing big data and AI solutions, focusing on anomaly detection, behavioral analytics, and agentic AI workflows. They will collaborate with account teams, provide technical leadership, enable clients through workshops and POCs, and influence the product roadmap by translating field insights into strategic recommendations. The role requires strong experience in cybersecurity engineering, SIEM platforms, and designing customer-facing security solutions, with an emphasis on data and AI applications within cybersecurity.

Solutions Architect role focused on guiding customers through their data and AI journey using the Databricks platform. This involves collaborating with sales, developing architectures, implementing proof-of-concepts for data engineering, data science, and ML workflows, and promoting open-source projects. Experience with agentic coding harnesses and distributed data systems is required.

This role focuses on developing and scaling Go-To-Market (GTM) strategies and enablement for new Databricks product categories, particularly in agentic AI infrastructure and cybersecurity. The individual will build and ship AI-powered enablement tools, design demo environments, and establish feedback loops between Product/Engineering and the field. The role requires a builder mentality, strong product instinct, and the ability to create scalable, multi-format enablement programs.

This role focuses on applying AI and cybersecurity expertise to design and implement customer-facing security solutions, specifically within the Lakewatch product line. The Solutions Architect will guide strategic customers, drive product adoption, and influence the product roadmap by translating field insights into recommendations for Product and Engineering teams. Key responsibilities include technical leadership, engagement strategy, enabling clients through workshops and POCs, and acting as a tier-3 escalation point for complex technical challenges.

Staff Software Engineer for a new, founding team in NYC focused on building vertical AI applications leveraging Databricks. The role involves creating user interfaces for GenAI agents and complex data visualizations, with a UI-first and GenAI-first approach. Requires extensive full-stack experience.

Staff Fullstack Engineer to build end-to-end, AI-powered applications for internal business workflows, focusing on defining technical roadmaps, system design, and engineering leadership.

Senior Staff Fullstack Engineer to build end-to-end, AI-powered applications for internal business workflows, focusing on technical leadership, roadmap definition, and engineering excellence within the Enterprise Applications team at Databricks.

Fullstack engineer to build new vertical AI applications using Databricks platform, focusing on UI/UX for GenAI agents and complex visualizations. This is a 0-to-1 role in a startup-like environment within a larger company, requiring a UI-first and GenAI-first approach.

Fullstack Software Engineer role at Databricks, focusing on building and enhancing AI/BI products, log analytics, and AI enablement features for their data and AI platform. The role involves working on the full stack to create scalable and delightful products, with a specific mention of investing in app builder AI agents.

Senior Security Engineer on the Incident Response team at Databricks, responsible for responding to security threats, incidents, and investigations. The role involves conducting security analysis and forensics, responding to high-priority alerts, and contributing to automations and agentic capabilities to scale incident response.