Remote AI/ML Solutions Architect: Lead Production-Grade AI

Jobicy; United States; Remote; USD 180,000 - 248,000; Full time

Job summary

Databricks is seeking an AI/ML Specialist Solutions Architect to lead the advanced technical strategy for customers, owning architecture discussions and platform adoption. This role focuses on production-grade AI/ML solutions, RAG, agentive systems, and observability, with Databricks as the foundation of the customer data and AI strategy.

This role can be remote and may require up to 30% travel as needed; you will work with customer leads to drive adoption and guide cross-functional teams to

Qualifications

• 6+ years in solutions architecture, technical pre-sales, or senior hands-on technical role.
• Deep expertise in distributed data systems and cloud-native platforms.
• Strong coding proficiency in Python and SQL with live problem-solving skills.
• Experience deploying on AWS, Azure, or GCP; cloud architecture focus.

Responsibilities

• Own the end-to-end AI/ML technical strategy for accounts from discovery through production deployment.
• Lead architecture discussions and design scalable, production-grade AI/ML solutions (RAG, agent systems, observability).
• Advise customer architects, engineering leads, and Directors; translate architectures into business value.
• Drive technical wins by demonstrating Databricks differentiation through custom solutions.
• Coordinate cross-functional resources to deliver complex customer solutions and influence product direction.

Skills

ML Engineering

AI Engineering

Python

SQL

Distributed data systems

Databricks Platform

Architecture leadership

Public cloud experience

Education

Bachelor's or Master's in CS/Engineering/quantitative field

Tools

LangChain

Hugging Face

OpenAI APIs

Vector databases

Job description

Databricks is seeking an AI/ML Specialist Solutions Architect to lead the advanced technical strategy for customers, owning architecture discussions and platform adoption. This role focuses on production-grade AI/ML solutions, RAG, agentive systems, and observability, with Databricks as the foundation of the customer data and AI strategy.

This role can be remote and may require up to 30% travel as needed; you will work with customer leads to drive adoption and guide cross-functional teams to