# Specialist Solutions Architect - AI/ML

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** $180k – $248k/yr
**Experience:** 5+ years
**Skills:** MLflow, AWS, Azure, GCP, LLMs, RAG, LangChain, Hugging Face, MLOps, Vector Databases
**Posted:** 2026-05-18

> Trusted technical ML & AI expert guiding customers in architecting production-grade ML & AI applications on Databricks platform. Requires 5+ years hands-on ML experience in cloud infrastructure or LLMs/agentic systems.

## Job Description

## Responsibilities
- Architect production-level ML & AI workloads for customers using a unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, and MLOps
- 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
- Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap

## Requirements
- 5+ years of hands-on industry ML experience in at least one of: ML Engineer (building and maintaining production-grade cloud infrastructure on AWS/Azure/GCP supporting ML applications including drift monitoring) or AI Engineer (experience with LLMs & agentic systems, vector databases, fine-tuning LLMs, AI guardrail systems, deploying LLMs with HuggingFace, Langchain, OpenAI)
- Experience communicating and/or teaching technical concepts to non-technical and technical audiences
- Passion for collaboration, life-long learning, and driving business value through ML & AI
- Ability to meet expectations for technical training and role-specific outcomes within 3 months of hire
- Ability to travel up to 30% when needed

## Nice-to-Haves
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
- 2+ years customer-facing experience in a pre-sales or post-sales role

## Similar roles

- [Deployment Engineer](https://hotfix.jobs/jobs/f8b6b648-be4f-442b-a767-0f2c379b3bff) - Squint.Ai - San Francisco, CA - $180k – $220k/yr
- [Solutions Architect, Retail](https://hotfix.jobs/jobs/278e1d3f-5ecc-4545-856d-7897221470ce) - Databricks - Seattle, WA - $180k – $248k/yr
- [Solutions Architect, Retail](https://hotfix.jobs/jobs/d0c6c8fb-92ab-4341-bb2d-79775a29b145) - Databricks - Remote - $180k – $248k/yr
- [Solutions Architect, Retail](https://hotfix.jobs/jobs/a12bd7d7-b57a-445c-a987-7db21963272d) - Databricks - Remote - $180k – $248k/yr
- [Solutions Architect](https://hotfix.jobs/jobs/ef8f66ab-4639-4590-aebd-3ea00f8b6fe3) - Databricks - Arizona - $180k – $248k/yr

**Apply:** https://hotfix.jobs/jobs/5d9d9e7e-4fdd-472a-ab57-44354e2943aa
**Canonical:** https://hotfix.jobs/jobs/5d9d9e7e-4fdd-472a-ab57-44354e2943aa