# 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:** Machine Learning, Artificial Intelligence, Generative AI, LLMs, MLOps, AWS, Azure, GCP, RAG, Vector Databases, LangChain, Hugging Face, Openai Apis, Delta Lake, AI Agents
**Posted:** 2026-09-12

> Architect and deliver production AI/ML and generative AI solutions for Databricks customers, supporting technical pre-sales and scalable MLOps implementations. Requires 5+ years of ML or AI engineering experience, cloud expertise, and strong communication skills.

## Job Description

## Responsibilities
- Design and deploy production-level machine learning and artificial intelligence architectures using the Databricks unified platform, including AI agents, end-to-end pipeline automation, and model training and inference optimization.
- Implement enterprise generative AI solutions, including Retrieval-Augmented Generation (RAG), tool calling, multi-agent orchestration, guardrails, AI evaluation, and observability systems.
- Build and maintain scalable customer AI workloads using MLOps practices across diverse industry domains.
- Partner with Solutions Architects during the sales cycle to guide prospects through feature engineering, model tracking, serving, and monitoring.
- Translate customer feedback into actionable product insights by collaborating with Engineering and Product teams.
- Mentor peers and contribute as a technical thought leader in the AI community.

## Requirements
- 5+ years of hands-on industry experience in ML engineering or AI engineering.
- Experience building and maintaining cloud infrastructure supporting production ML applications and drift monitoring using AWS, Azure, or Google Cloud.
- Experience with LLMs and agentic systems, including vector databases, fine-tuning, AI guardrails, and frameworks such as LangChain, Hugging Face, or OpenAI APIs.
- Ability to explain complex AI and ML concepts to technical and non-technical audiences.
- Understanding of modern lakehouse architectures, Delta Lake, data modeling, and BI integration across major cloud platforms.
- Strong collaboration, continuous learning, and business-value orientation.
- Ability to travel up to 30% for customer engagements.
- Ability to meet role-specific training and technical delivery milestones within the first six months.

## Preferred Qualifications
- Prior experience in a pre-sales or post-sales technical consulting role.
- Graduate degree in Computer Science, Engineering, Statistics, or a related quantitative field, or equivalent practical experience.

## Compensation
- Local pay range: $180,000–$247,500 USD.
- Total compensation may also include an annual performance bonus, equity, and benefits.

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