Sr. Specialist Solutions Architect -AI&ML Engineer
Databricks1 month ago
Herẕliyya, IsraelSenior
Responsibilities
- Architect production-grade ML and AI workloads for customers on the Databricks platform.
- Design and deliver GenAI solutions including RAG architectures, agentic systems, tool-calling and multi-agent orchestration, guardrails, natural-language querying, evaluation, observability, and monitoring.
- Build, scale, optimize, and productionize customer AI workloads using MLOps practices.
- Provide advanced technical support to Solution Architects across feature engineering, training, tracking, serving, and model monitoring during technical sales.
- Collaborate with product and engineering teams to represent customer needs, influence priorities, and support adoption of Databricks AI offerings.
- Mentor others and contribute to the Databricks ML subject-matter-expert community.
Requirements
- 7+ years of hands-on industry ML experience.
- Experience building and maintaining production-grade cloud infrastructure for ML applications, including drift monitoring, or experience as an AI Engineer with LLMs and agentic systems.
- Experience with vector databases, LLM fine-tuning, AI guardrail systems, and deploying LLMs with Hugging Face, LangChain, and OpenAI.
- Experience with data engineering or a strong understanding of data engineering concepts.
- Ability to communicate and teach technical concepts to both technical and non-technical audiences.
- Ability to meet technical training and role-specific outcome expectations within three months of hire.
- Preferred: 5+ years of customer-facing experience in a pre-sales or post-sales role.
Benefits
- Comprehensive regional benefits and perks are offered; specific details depend on the employee's region.
- The role is based in the Tel Aviv area, within commuting distance of the Databricks office in Herzliya.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.