Senior Specialist Solutions Architect – AI & ML Engineer

Databricks

Senior Specialist Solutions Architect focusing on AI & ML engineering solutions at Databricks. Collaborate with customers to architect ML applications using the Databricks platform.

Posted 4/16/2026full-timeRemote • 🇫🇮 FinlandSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.
Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems
Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains
Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks
Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings

Requirements

What you’ll need

7+ years of hands-on industry ML experience in at least one of the following:
ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.
AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
Experience with data engineering, or a good understanding of the concept of data engineering
Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
Passion for collaboration, life-long learning, and driving business value through ML & AI
[Preferred] 5+ years customer-facing experience in a pre-sales or post-sales role
Can meet expectations for technical training and role-specific outcomes within 3 months of hire
This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed

Benefits

Comp & perks

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

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Hard Skills & Tools

machine learningartificial intelligenceMLOpscloud infrastructuredata engineeringLLMsagentic systemsfeature engineeringmodel monitoringdrift monitoring

Soft Skills

collaborationcommunicationteachingcustomer-facing experiencelife-long learningdriving business value