# Senior Specialist Solutions Architect - AI & ML Engineer

**Company**: Databricks
**Location**: Finland; Remote - Denmark; Stockholm, Sweden
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8506063002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5fb5f56c-76e

## Description

As a Senior Specialist Solutions Architect - AI & ML Engineer, you will be the trusted technical ML & AI expert for both Databricks customers and the Field Engineering organisation.

You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform.

The impact you will have:

- Architect production-level ML & AI workloads for customers using the unified platform, including agents, end-to-end ML pipelines, training/inference optimisation, integration with cloud-native services, MLOps, etc.

- Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems, natural language querying of structured data, AI evaluation and observability, and monitoring systems.

- Build, scale, and optimise customer AI workloads and apply best-in-class MLOps to productionise these workloads across various domains.

- Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering to model monitoring.

- Collaborate cross-functionally with product and engineering teams to represent the voice of the customer and influence the product roadmap.

What we look for:

- 7+ years of hands-on industry ML experience in at least one of the following:

- ML Engineer: Build and maintain production-grade cloud infrastructure that supports the deployment of ML applications.

- AI Engineer: Experience with the latest techniques in LLMs & agentic systems.

- Experience with data engineering or a good understanding of the concept of data engineering.

- Experience communicating technical concepts to non-technical and technical audiences.

- Passion for collaboration, life-long learning, and driving business value through ML & AI.

- Preferred: 5+ years of customer-facing experience in a pre-sales or post-sales role.

Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all our employees.

## Skills

### Required
- ML Engineer
- AI Engineer
- MLOps
- GenAI
- LLMs
- agentic systems
- data engineering

### Nice to have
- customer-facing experience
- pre-sales or post-sales role

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8506063002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)