# Specialist Solutions Architect - AI/ML at Databricks

> Architect production ML and GenAI workloads for customers and guide their technical roadmaps on the Databricks platform.

- Company: Databricks (databricks.com)
- Location: Seoul, South Korea
- Places: Seoul, South Korea
- Posted: 2026-09-10
- Level: Senior
- Team: Field Engineering
- Work mode: Hybrid
- Travel: Up to 30%
- Apply: https://databricks.com/company/careers/open-positions/job?gh_jid=8785057002
- Page: https://ye.saranatour.dev/jobs/specialist-solutions-architect-ai-ml-databricks-kn70ztqzgdkp7rtx71awa8nnm18hf8bq

## The posting

Specialist Solutions Architect - AI/ML
Databricks · Seoul, South Korea

FEQ427R92

As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.

This is a Hybrid role, based in Seoul, Korea.

**The impact you will have:**

- 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 a 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

**What we look for:**

- 5+ years of hands-on industry ML experience in at least one of the following:
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
- 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
- \[Preferred\] 2+ years customer-facing experience in a pre-sales or post-sales role
- Can meet expectations for technical training and role-specific outcomes within 6 months of hire
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
- Can travel up to 30% when needed
- Native proficiency in Korean is a must, and business-level English is preferred
- Nice to have: Databricks Certification

**About Databricks**

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on [LinkedIn](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram