Associate AI Engineer

Morningstar Inc

Hybrid

Quick summary

Work type: Hybrid
Location: Chicago, IL
Salary: $85,000–$85,000 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k

This role $85k

$66k most similar roles pay here $265k

This role pays less than 99% of similar roles. Most pay $168,262–$246,150 — the shaded band above. At the midpoint, this role pays about $85k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Morningstar Inc

Morningstar, Inc. is a leading financial services firm providing independent investment research, data, and management services to individuals, advisors, and institutions.

Morningstar Inc currently has 15 open roles on FindRole.

Listed pay typically runs $114,100–$167,350 across 14 roles with salary data.

Most-posted roles

View all roles at Morningstar Inc

At a glance

TL;DR · Associate AI Engineer

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Morningstar’s Direct Platform team is hiring a Forward-Deployed AI Engineer to work closely with Product Managers, UX designers, and researchers in rapidly prototyping AI solutions for real-world advisor workflows. This role involves building and iterating on AI prototypes, integrating signals and models into working experiments, and validating the feasibility of AI behaviors in practical scenarios. The ideal candidate will have 1-2 years of AI engineering experience, proficiency with Python, LLMs, prompt engineering, and AI frameworks like Claude Code or Cursor, and strong collaboration skills to work effectively in a cross-functional team environment. This position is crucial for enabling fast, evidence-based product decisions by reducing risk and uncertainty through rapid experimentation and validation.

Skills

Python LLMs prompt engineering AI frameworks Claude Code Cursor Kubernetes Docker CI/CD GitHub PostgreSQL AWS Google Cloud Azure Terraform Git Jupyter Notebook Swagger JSON REST API GraphQL Scikit-learn TensorFlow PyTorch

What you'll do

Build and iterate AI prototypes for advisor workflows.
Integrate signals, models, and UX designs into working experiments.
Test feasibility and performance of AI behaviors in real workflow scenarios.
Capture technical learnings and provide handoff documentation for production teams.
Rapidly validate ideas before long-term engineering investment.

What we're looking for

1-2 years of AI engineering experience
Proficiency in Python, LLMs, and prompt engineering
Experience with AI coding tools like Claude Code or Cursor
Ability to rapidly prototype AI solutions with limited resources
Strong collaboration skills for cross-functional team work
Expertise in data integration and technical documentation

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