Sr. Specialist Solutions Architect -AI&ML Engineer

Israel · 5+ years experience · Posted Sep 23, 2026

At a glance

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

The Sr. Specialist Solutions Architect (SSA) - AI & ML Engineer serves as a technical expert guiding enterprise customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform.
This role involves collaborating with the Field Engineering organization to align customer technical roadmaps with Databricks' evolving AI offerings while establishing oneself as an AI thought leader.

Architect production-level ML and AI workloads including agents, end-to-end pipelines, and training/inference optimization.
Serve as a trusted practitioner for enterprise GenAI solutions such as RAG architectures, agentic systems, and AI evaluation/observability.
Build, scale, and optimize customer AI workloads using best-in-class MLOps practices.
Provide advanced technical support to Solution Architects during the technical sales process.
Participate in the internal ML SME community at Databricks.
Collaborate cross-functionally with product and engineering teams to represent the voice of the customer and influence the product roadmap.

7+ years of hands-on industry ML experience as an ML Engineer or AI Engineer.
Experience building and maintaining production-grade cloud infrastructure (AWS, Azure, or GCP) for ML applications.
Experience with LLMs and agentic systems including vector databases, fine-tuning, guardrail systems, and deployment tools.
Experience with or strong understanding of data engineering concepts.
Experience communicating or teaching technical concepts to both technical and non-technical audiences.
Ability to meet expectations for technical training and role-specific outcomes within 3 months of hire.
Must be located in the Tel Aviv area with commutable distance to the Herzliya office.

Location: Tel Aviv area, with commutable distance to the Databricks office in Herzliya.

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