Associate AI Engineer

Morningstar•Chicago, IL

1d•Hybrid

About The Position

Morningstar’s mission is to empower investor success. The Direct Platform team does this by creating products that help financial professionals, and the investors they serve, achieve their financial goals. The Morningstar Direct Platform team is one of the largest business units that strive to give clients access to the data, analytics, and tools that help financial professionals be more efficient, innovative, and connect with their clients in a more meaningful way. This role is based in our Chicago office, and we follow a hybrid policy of 4 days onsite. Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. Role Overview We are seeking Forward-Deployed AI Engineers to rapidly prototype AI solutions in real-world advisor workflows. This role is embedded in our discovery team, working alongside Product Managers, UX designers, and researchers to translate ideas into functioning prototypes. Success is measured by speed, feasibility validation, and actionable prototypes that can move downstream. What Success Looks Like: Prototypes validate advisor workflows quickly and reliably Downstream production engineers can operationalize prototypes with minimal friction Team moves from idea → evidence → validated workflow efficiently Experiments reduce risk and uncertainty for AI product decisions Why This Role Matters Product minded forward-deployed engineers collapse the gap between concept and reality, enabling the team to make fast, evidence-based product decisions while reducing wasted effort downstream.

Requirements

AI prototyping – Ability to build working AI systems quickly
Data integration – Connect signals, APIs, and datasets for prototypes
Collaboration in cross-functional teams – Work side-by-side with PMs, UX, and researchers
Experimentation and iteration – Rapidly test and refine ideas with user feedback
Technical documentation – Clearly communicate prototype behavior and limitations
1-2 years of AI engineering experience
Experience using AI Coding tools like Claude Code and/or Cursor
Experience with Python, LLMs, prompt engineering, and AI frameworks
Ability to rapidly prototype with limited infrastructure
Strong problem-solving and communication skills

Responsibilities

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
Collaborate closely with PMs, UX designers, and Research & Signals Lead
Capture technical learnings and provide handoff documentation for production teams
Rapidly validate ideas before long-term engineering investment

Benefits

100% 401k match up to 6% of salary
Stock Ownership Potential
Company provided life insurance - 1x salary + commission
Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages
Additional medical Wellness Incentives - up to $300-$600 annual
Company-provided long- and short-term disability insurance
Trust-Based Time Off
6-week Paid Sabbatical Program
6-Week Paid Family Caregiving Leave
Competitive 8-24 Week Paid Parental Leave
Adoption Assistance
Leadership Coaching & Formal Mentorship Opportunities
Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses
Tuition Reimbursement
Charitable Matching Gifts program
Dollars for Doers volunteer program
Paid volunteering days
15+ Employee Resource & Affinity Groups