Lead AI Platform Architect – Cloud-Native & Scalable

Morningstar, Inc.; Chicago (IL); Hybrid; USD 117,957 - 123,010; Full time

Benefits offered by this job

401k match up to 6%

Stock ownership potential

Life insurance - 1x salary + com

Health benefits (medical/dental/vision

Disability insurance

Sabbatical program

Parental leave

Tuition reimbursement

Charitable matching

Job summary

Morningstar, Inc. is seeking an experienced software leader to architect scalable AI and cloud-native solutions across AWS, Azure, and OpenAI. You will mentor engineering teams, drive machine-learning model deployment, and own DevOps practices including Docker, Kubernetes, and CI/CD pipelines.

The role emphasizes performance, reliability, security, and cost optimization in a financial data context. The position requires a strong technical background, education in CS/CE/IT, and 3+ years of

Qualifications

• Bachelor's or Master’s degree in a technology field with 6+ years (or 8+ for bachelor's path) of software engineering experience.
• 5+ years designing scalable AI and cloud-native solutions on AWS/Azure/OpenAI or similar.
• 5+ years building distributed and real-time software products.
• 3+ years mentoring and leading engineering teams.
• 3+ years in machine learning model development and production deployment.
• 3+ years with DevOps, CI/CD, and containerization (Docker/Kubernetes).

Responsibilities

• Architect and lead scalable AI and cloud-native solutions using AWS/Azure/OpenAI.
• Lead AI-powered transcription platform development to improve speed and efficiency.
• Design, code, debug, and maintain high-performance software systems.
• Provide technical leadership across multiple engineering teams.
• Collaborate with architects, engineers, DevOps, and stakeholders to align tech with business goals.
• Enforce coding standards and best practices for reliability and security.
• Lead DevOps with Docker, Kubernetes, and AWS Fargate; implement CI/CD with SonarQube.
• Make strategic infra decisions and optimize costs.
• Participate in team meetings to foster innovation and rigor.

Skills

Python

Java

Machine learning

Software architecture

Leadership

Agile methodologies

DevOps practices

Problem solving

Education

Bachelor's degree in Computer Science / Engineering / IT

Master’s degree in Computer Science / Engineering / IT

Tools

AWS

Azure

OpenAI

Docker

Kubernetes

AWS Fargate

SonarQube

Job description

Morningstar, Inc. is seeking an experienced software leader to architect scalable AI and cloud-native solutions across AWS, Azure, and OpenAI. You will mentor engineering teams, drive machine-learning model deployment, and own DevOps practices including Docker, Kubernetes, and CI/CD pipelines.

The role emphasizes performance, reliability, security, and cost optimization in a financial data context. The position requires a strong technical background, education in CS/CE/IT, and 3+ years of