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.

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.

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.

Databricks is seeking a Sr. Manager for their AI Forward Deployed Engineering (AI FDE) team. This customer-facing role involves leading professional services engagements to help customers build and productionize GenAI applications using Databricks. The manager will lead and scale the AI FDE team in India, recruit engineers, develop executive customer relationships, and drive strategic AI PS initiatives. The role requires deep technical expertise in ML/GenAI and experience managing high-performing AI/ML teams in cloud environments.

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.

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.

Databricks is seeking ML Engineers to enhance their AI/ML-powered Search product. The role involves developing and deploying ML-based search and discovery relevance models, designing ML/NLP pipelines for query understanding and ranking, and contributing to evaluation frameworks. Experience applying LLMs to search relevance and developing search relevance systems at scale is required.

Databricks is hiring ML Engineers for their Applied AI team to enhance search quality for their platform. The role involves developing and deploying ML-based search and discovery relevance models, building automated ML/NLP pipelines for data preprocessing, query understanding, ranking, retrieval, and model evaluation, and contributing to a robust framework for evaluating search ranking improvements. Experience applying LLMs to search relevance and developing search relevance systems at scale is required.

Databricks is hiring ML Engineers to enhance their Search product quality, focusing on search ranking, query understanding, and building robust evals. The role involves developing and deploying ML-based search and discovery relevance models and systems, designing ML/NLP pipelines, and collaborating with product teams. Experience with LLMs in search relevance and developing large-scale search relevance systems is required.