# Specialist Solutions Architect - AI/ML

**Company**: Databricks
**Location**: United States
**Experience**: senior
**Job type**: full-time
**Salary**: $180,000-$247,500 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8697991002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c60a4c11-2da

## Description

As a Specialist Solutions Architect (SSA) , AI/ML, you will serve as a trusted technical expert in Machine Learning and Artificial Intelligence for Databricks customers and our Field Engineering organization.

Working at the forefront of cutting-edge technologies,including Generative AI, LLMs, and MLOps,you will mentor peers and establish yourself as a technical thought leader in the AI community.

The impact you will have:

- Architect AI/ML Workloads: Design and deploy production-level ML and AI architectures using the Databricks unified platform, including AI agents, end-to-end pipeline automation, and model training/inference optimization.

- Lead GenAI Implementation: Act as a hands-on practitioner for enterprise Generative AI solutions, including Retrieval-Augmented Generation (RAG), tool-calling/multi-agent orchestration, guardrails, AI evaluation, and observability systems.

- Optimize & Scale: Build and maintain scalable customer AI workloads, applying best-in-class MLOps practices across diverse industry domains.

- Technical Pre-Sales Support: Partner with Solutions Architects during the sales cycle,guiding prospects through feature engineering, model tracking, serving, and monitoring within a single platform.

- Influence the Product Roadmap: Translate customer feedback into actionable product insights by collaborating with Engineering and Product teams to shape the future of Databricks' AI offerings.

What we look for:

- 5+ years of hands-on industry experience in at least one of the following domains:

- ML Engineering: Building and maintaining cloud infrastructure (AWS, Azure, or GCP) supporting production ML applications and drift monitoring.

- AI Engineering: Working with LLMs and agentic systems, including vector databases, fine-tuning, AI guardrails, and frameworks like LangChain, Hugging Face, or OpenAI APIs.

- Demonstrated ability to translate complex AI/ML concepts for both technical and non-technical audiences.

- Strong passion for continuous learning, cross-team collaboration, and delivering tangible business value through AI.

- Understanding of modern lakehouse architectures (Delta Lake, data modeling, BI integration) across major cloud platforms (AWS, Azure, or GCP).

- Prior experience in a pre-sales or post-sales technical consulting role (preferred).

- Graduate degree in Computer Science, Engineering, Statistics, or a related quantitative field,or equivalent practical experience.

- Ability to travel up to 30% as needed for customer engagements.

- Ability to hit role-specific training and technical delivery milestones within the first 6 months.

Pay Range Transparency: The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Local Pay Range: $180,000-$247,500 USD

## Skills

### Required
- Machine Learning
- Artificial Intelligence
- MLOps
- Generative AI
- LLMs
- Cloud Infrastructure
- AWS
- Azure
- GCP
- LangChain
- Hugging Face
- OpenAI APIs

### Nice to have
- Pre-sales or post-sales technical consulting

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8697991002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)