Find your next AI-scored role.

Senior Solutions Architect at Databricks helping financial services clients design and deploy big data and AI solutions on the Databricks platform. Requires 9+ years in data engineering, Apache Spark expertise, and cloud architecture experience.

Senior Solutions Architect at Databricks helping enterprise customers design and deploy big data and AI solutions on the Databricks platform. Requires 9+ years in data engineering, Apache Spark expertise, and cloud architecture experience.

Senior Solutions Architect at Databricks helping enterprise customers design and deploy big data and AI solutions on the Databricks platform. Requires 9+ years in data engineering, Apache Spark expertise, and cloud architecture experience.

Senior Solutions Architect at Databricks helping financial services clients design and deploy big data and AI solutions on the Databricks platform. Requires 9+ years in data engineering, Apache Spark expertise, and cloud platform experience.

Resident Solutions Architect at Databricks providing data engineering and analytics consulting to enterprise customers. Designs and deploys big data and AI solutions on the Databricks platform, with 20% travel to customer sites.

Senior Solutions Architect at Databricks Professional Services, working with financial services clients on big data and AI projects using the Databricks platform. Designs architectures, builds reference implementations, and guides customers through data transformation initiatives.

Senior Solutions Architect at Databricks helping financial services clients design and deploy big data and AI solutions on the Databricks platform. Requires 9+ years in data engineering, Apache Spark expertise, and cloud platform experience.

Senior Solutions Architect at Databricks Professional Services, working with financial services clients on big data and AI projects using the Databricks platform. Designs architectures, builds reference implementations, and guides customers through data platform migrations and adoption.

Field CTO at Databricks building trusted relationships with C-level executives in regulated industries. Drives multi-year data platform and AI transformation strategies, mentors senior talent, and shapes product roadmap feedback from strategic accounts.

Sr. Staff Software Engineer on Databricks' Money team building billing, metering, and cost optimization systems for the data and AI platform. Designs distributed services handling usage ingestion, pricing, payments, and budgeting across AWS, GCP, and Azure.

Senior Solutions Architect at Databricks Professional Services, delivering big data and AI projects on the Databricks platform. Designs architectures, implements customer solutions, and provides technical guidance on data engineering and cloud infrastructure.

Senior Manager of Engineering at Databricks leading the Model Serving team, responsible for product experience and foundational infrastructure for deploying and managing AI/ML models at scale. Focus on real-time inference, governance, monitoring, and operational excellence across CPU and GPU systems.

Staff software engineer at Databricks designing and optimizing high-performance GPU kernels for GenAI inference. Focus on kernel-level performance engineering, hardware efficiency, and mentoring on compute optimization across various accelerators.

Staff software engineer at Databricks building the GenAI inference engine for the Foundation Model API. Focus on architecture, optimization, and scaling of LLM serving across GPUs and accelerators.

Software engineer at Databricks building the GenAI inference engine for the Foundation Model API. Focus on optimizing LLM serving systems for latency, throughput, and memory efficiency across distributed GPU infrastructure.

Staff Security Detection Engineer at Databricks building ML-driven intrusion detection systems on the Databricks platform. Designs detection strategies, develops Spark/Python pipelines, and partners with incident response teams to enhance threat detection capabilities.

Sr. Solutions Architect at Databricks helping public sector customers design and implement data analytics and ML solutions on the Databricks platform. Role involves technical consulting, proof-of-concept development, and customer-facing architecture guidance using Apache Spark, Delta Lake, and MLflow.

Senior Product Manager at Databricks leading AI product strategy. Focus on enterprise AI capabilities, agents, and workflow orchestration. Partner with engineering and research teams to translate AI breakthroughs into customer-facing products.

Senior Product Manager at Databricks leading AI product strategy. Focus on enterprise AI capabilities, agents, and workflow orchestration. Partner with engineering and research teams to translate AI breakthroughs into customer-facing products.

Staff Software Engineer at Databricks building the Model Serving platform for high-throughput, low-latency AI/ML inference. Design and operate distributed systems for CPU and GPU workloads, define technical roadmap, and mentor engineers.

Staff Software Engineer at Databricks building Foundation Model Serving infrastructure. Design and operate high-throughput, low-latency GPU inference systems for frontier models like Llama and Claude at scale.

Senior Software Engineer at Databricks building Model Serving infrastructure for high-throughput, low-latency AI/ML model inference. Focus on distributed systems, GPU/CPU serving, autoscaling, and operational excellence.

Senior Manager of Engineering for Search at Databricks, leading a team building vector, keyword, and hybrid search infrastructure. Responsible for designing cloud-native search services, mentoring engineers, and defining product strategy for RAG and AI applications.

Senior Software Engineer on Databricks' Money team building billing, metering, and cost optimization systems for the data and AI platform. Focuses on distributed services, pricing strategies, and usage ingestion across AWS, GCP, and Azure.

Staff Backline Engineer at Databricks supporting Data & AI infrastructure. Conducts deep-dive troubleshooting of Spark and distributed systems, performs root-cause analysis, and develops diagnostic tooling to improve platform reliability and customer success.