Forward‑Deployed AI Engineer for Advisor Workflows

Morningstar, Inc.; Chicago (IL); Hybrid; USD 145,170 - 182,820; Full time

Benefits offered by this job

100% 401k match up to 6%

Stock Ownership Potential

Comprehensive health benefits

Trust-Based Time Off

Paid Sabbatical Program

Paid Family Caregiving Leave

Paid Parental Leave

Annual Flex Stipend - $1000

Tuition Reimbursement

Charitable Matching Gifts program

Paid volunteering days

Job summary

A financial services firm in Chicago is seeking a Forward-Deployed AI Engineer to rapidly prototype AI solutions in advisor workflows. This role focuses on building functional prototypes, collaborating with cross-functional teams, and testing AI behaviors. Candidates should have 3-5 years of AI engineering experience, expertise in AI coding tools, and the ability to work on limited infrastructure. The position offers a hybrid work environment and a compensation range between $145,170 to $182,820 annually.

Qualifications

• 3-5 years of AI engineering experience.
• Expert user of AI coding tools like Claude Code and/or Cursor.
• Expertise 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.

Skills

AI prototyping

Data integration

Collaboration in cross-functional teams

Experimentation and iteration

Technical documentation

Tools

Claude Code

Cursor

Python

Job description

A financial services firm in Chicago is seeking a Forward-Deployed AI Engineer to rapidly prototype AI solutions in advisor workflows. This role focuses on building functional prototypes, collaborating with cross-functional teams, and testing AI behaviors. Candidates should have 3-5 years of AI engineering experience, expertise in AI coding tools, and the ability to work on limited infrastructure. The position offers a hybrid work environment and a compensation range between $145,170 to $182,820 annually.