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The AI Engineer - FDE will develop GenAI solutions, manage production rollouts, and collaborate cross-functionally with multiple teams to shape AI product strategies and priorities.

Provide high-touch technical support for strategic Databricks customers: manage and prioritize critical issues, coordinate across Engineering/Product/Accounts, drive ticket closure, perform trend analysis, chair customer roundtables, and promote customer self-sufficiency.

Lead and grow a backend engineering team building scalable, cloud-agnostic infrastructure and services for Databricks. Hire and develop engineers, ensure engineering excellence (architecture reviews, testing, monitoring), drive roadmaps with product leadership, and coordinate cross-team execution to deliver reliable distributed systems and ML infrastructure.

Lead architecture and hands-on development of AI-powered support automation and agentic workflows to reduce time-to-mitigate, improve quality, and scale Support. Own technical vision, implement observability and rollback mechanisms, align roadmaps across teams, and mentor engineers to ensure reliability and maintainability.

Perform inbound and outbound prospecting to build pipeline, partner with sales to develop territory strategy, identify Databricks use cases to grow consumption, and deliver a strong customer experience through solution-focused outreach and follow-up.

Build and maintain scalable backend services and infrastructure for Databricks platform. Work on distributed systems, storage integrations (S3/Azure Blob), SaaS/service-oriented architectures, data pipelines (Spark), monitoring, and high-performance client libraries to support large-scale workloads.

Lead search quality for both LLM agents and human users by building and optimizing hybrid retrieval, ranking models, and evaluation frameworks across structured and unstructured data to ensure high-precision, high-recall results.

As a Staff Software Engineer in Observability at Databricks, you'll develop observability solutions for product and infrastructure health, manage cloud infrastructure, improve monitoring practices, and mentor other engineers.

The role involves developing M&A and investment strategies, supporting transactions from sourcing to execution, and building relationships within the investment ecosystem.

Solutions Architects lead the adoption of Databricks' platform, consult on big data architecture, and develop solutions for customers. This role involves technical leadership, prototyping, and building reference architectures while collaborating with sales and technical teams.