How many AI Solutions Engineer jobs are open?

We currently track 224 active AI Solutions Engineer job postings from 7 companies (dataset: public employer career pages, updated Sep 29, 2026).

What skills does a AI Solutions Engineer need?

The most requested skills in current AI Solutions Engineer postings are: Python, AWS, SQL, Azure, Google Cloud, Spark.

AI Solutions Engineer

Designs and demos AI solutions for customers; pairs deep technical skill with client work.

Also seen as: AI Solutions Architect, Machine Learning Solutions Engineer

224

open jobs tracked

companies hiring

remote openings

$137.6K–310K

advertised range

Market status: emerging · Last updated Sep 29, 2026 · Source: public employer job postings tracked by AI Career Observatory

What does a AI Solutions Engineer do?

AI Solutions Engineers support sales and customer teams with technical depth: scoping AI use cases, building demos and proofs of concept, designing solution architectures, and supporting customers through integration. It is a customer-facing engineering role focused on applied AI solutions.

Job titles we classify into this role

Real, current titles from tracked postings — role names vary by employer; this is what a AI Solutions Engineer actually looks like in the market right now.

Specialist Solutions Architect (SSA) (Cloud Infrastructure) Databricks
Delivery Solutions Architect - Digital Native Business Databricks
Senior Scale Solution Engineer (Korean-speaking; English required) Databricks
Sr. Delivery Solutions Architect (Greater China Region) Databricks
Delivery Solutions Architect - Public Sector (DOJ) Databricks
Solutions Architect - Financial Services & Insurance Databricks
Delivery Solutions Architect Databricks
Sr. Solutions Engineer - Digital Native Business (Strategic Accounts) Databricks

Title variants normalized into this role: AI Solutions Architect · Machine Learning Solutions Engineer — plus employer-specific patterns matched with evidence. See classification methodology.