Senior Specialist Solutions Architect (AI/ML)

Location: Zürich, Switzerland

Company

Databricks is a Data and AI company providing the Data + AI Platform for building and scaling data, AI applications, analytics, and agents.

What you will do

• Lead discovery, architecture design, demos, proofs of concept, and MVPs for agent, GenAI, and ML use cases in competitive evaluations.
• Architect production-grade agents and multi-agent applications using Agent Bricks, Databricks Apps, MCP tools, Lakebase, AI Search, and Foundation Model APIs, with governance through Unity Catalog.
• Help customers implement GenAI evaluation and observability using MLflow tracing, LLM judges, labelled evaluation datasets, release gates, and production monitoring.
• Position the AI Gateway for model access control, guardrails, PII protection, usage tracking, and rate limiting.
• Enable solutions architects and partners through workshops, reusable assets, and reference architectures, while bringing customer requirements to Product Management and Engineering.
• Represent Databricks in executive briefings, meetups, conferences, and written content.

Requirements

• 7+ years of hands-on experience in machine learning, AI engineering, or data science, including customer-facing technical work in pre-sales, consulting, or technical leadership.
• Experience shipping LLM and agent systems to production, including evaluation, monitoring, and cost management.
• Deep knowledge of agent architecture, including tool use and function calling, MCP, agent memory and state, multi-agent orchestration, retrieval, and context design.
• Practical experience evaluating GenAI systems through tracing, LLM-as-a-judge, evaluation datasets, regression testing, and production observability.
• Hands-on experience with at least one modern agent framework, such as LangGraph, OpenAI Agents SDK, Google ADK, or DSPy, with a framework-agnostic design approach.
• Understanding of foundation-model providers and the trade-offs between quality, latency, cost, and data residency.
• Strong grounding in classical ML and MLOps, including model development, deployment, monitoring, and lifecycle management at scale.
• Strong software engineering skills in Python and SQL; daily use of AI coding assistants and ability to build working demo applications quickly.
• Experience with at least one major cloud platform—AWS, Azure, or GCP—and modern data platforms.
• Ability to influence technical leaders up to CTO/CDO level, explain complex AI topics in business terms, and teach technical and non-technical audiences.

Culture & Benefits

• Comprehensive benefits and perks tailored to regional employee needs.
• Inclusive culture and hiring practices aligned with equal employment opportunity standards.
• Databricks operates globally with more than 30 offices.
• For roles requiring access to export-controlled technology or source code, Databricks may apply for a U.S. government license and may decline an application on that basis.