Sr. Specialist Solutions Architect

Contract type
Ongoing
Work mode
Remote · Zürich
Experience
Senior · 7+ years

Job description

Senior Specialist Solutions Architect (AI/ML) at Databricks in Zürich, acting as the go-to technical expert for Databricks' AI platform across customers, helping them move from AI experiments to governed, cost-efficient agents and ML systems. The role works with Account Executives and Solutions Architects to win strategic opportunities and shapes AI go-to-market in the region.

At a glance

Work mode
Remote · Zürich
Languages
English

What you'll do

  • Win the technical decision for AI on Databricks
  • Lead discovery, architecture design, demos, proofs of concept and MVPs for agent, GenAI and ML use cases in competitive evaluations
  • Architect agents and multi-agent applications using Agent Bricks, Databricks Apps, MCP tools, Lakebase, AI Search and the Foundation Model APIs; govern assets under Unity Catalog
  • Help customers build evaluation and observability into everything they ship, using MLflow tracing, domain-specific LLM judges, labelled evaluation datasets, release gates and production monitoring
  • Position the AI Gateway as the central control point for model access, guardrails, PII protection, usage tracking and rate limiting
  • Enable SAs and partners with workshops, reusable assets and reference architectures
  • Bring structured customer feedback and requirements specific to the market to Product Management and Engineering
  • Represent Databricks at customer executive briefings, meetups, conferences and in written content

What we're looking for

  • 7+ years of hands-on experience in machine learning, AI engineering or data science, including customer-facing technical work (pre-sales, consulting or technical leadership)
  • A track record of shipping LLM and agent systems to production, not just prototypes, including evaluation, monitoring and cost management
  • Deep knowledge of agent architecture: tool use and function calling, MCP, agent memory and state, orchestrating multiple agents, and retrieval and context design
  • Strong practical experience evaluating GenAI systems: tracing, LLM-as-a-judge, building evaluation datasets, regression testing and observability in production
  • Hands-on with at least one modern agent framework (e.g. LangGraph, OpenAI Agents SDK, Google ADK, DSPy); framework-agnostic in how you design
  • Solid understanding of the foundation-model landscape (e.g. Anthropic, OpenAI, Google, open-weight models) and the trade-offs between quality, latency, cost and data residency
  • Strong grounding in classical ML and MLOps: model development, deployment, monitoring and lifecycle management at scale
  • Strong software engineering skills in Python and SQL; use AI coding assistants (e.g. Claude Code, Cursor) daily and can build a working demo application quickly
  • Experience with at least one major cloud platform (AWS, Azure or GCP) and modern data platforms
  • Proven ability to influence technical leaders up to CTO/CDO level and to explain complex AI topics in business terms
  • Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences

Your team

Specialist Solutions Architects – Switzerland, Austria & Eastern Europe

Benefits

  • Comprehensive benefits and perks that meet the needs of all employees (region-specific details available)

Apply

About Databricks

The Data and AI company

Databricks offers a unified Data + AI Platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog, used by more than 20,000 organizations worldwide to build and scale data and AI apps, analytics and agents.

Key facts

  • San Francisco
  • Data and AI platform
  • More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform
  • Customers include adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500
  • Headquartered in San Francisco with 30+ offices around the globe

Partners & customers

adidasBayerBlockMastercardRivianUnilever