Senior Software Engineer, AI Enablement & Solutions

About the role

The Group Morningstar DBRS provides independent credit ratings, research, and risk insights to market participants around the world. This team builds the platforms, services, and tools that help Morningstar DBRS move from experimentation to real-world adoption.

Responsibilities

• Design and build production AI applications using AWS Bedrock and related AWS services, with a focus on reliability, security, and maintainability.
• Develop AI agents, MCP servers, APIs, and shared platform capabilities that enable other teams to build and deploy AI-powered solutions.
• Partner with business and technology teams to understand complex workflows and identify opportunities where AI can deliver measurable improvements.
• Evaluate and implement approaches such as tool use, retrieval-based architectures, orchestration frameworks, and model evaluation techniques to improve application performance and accuracy.
• Modernize existing Python-based applications and integrate AI capabilities into products and workflows already used across Morningstar DBRS.
• Contribute to technical decisions, engineering standards, and delivery planning while helping guide less experienced engineers when needed.

Requirements

Strong software engineering fundamentals with experience building and operating production applications in AWS. Professional experience developing applications and services in Python. Experience delivering AI-powered applications beyond experimentation, including deploying solutions used by internal or external customers. Hands-on experience with AWS Bedrock or comparable enterprise AI platforms and the surrounding ecosystem of model integration, evaluation, and monitoring. Experience designing and consuming APIs, building distributed services, and integrating with enterprise systems. A practical approach to software architecture, testing, observability, and operational support. Ability to work with both technical and non-technical stakeholders to translate business problems into software solutions. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Skills

• Experience building and operating production applications in AWS.
• Professional experience developing applications and services in Python.
• Experience delivering AI-powered applications beyond experimentation.
• Hands-on experience with AWS Bedrock or comparable enterprise AI platforms.
• Experience designing and consuming APIs, building distributed services, and integrating with enterprise systems.
• A practical approach to software architecture, testing, observability, and operational support.
• Ability to work with both technical and non-technical stakeholders.

Benefits

At Morningstar we believe people are at their best when they are at their healthiest. That’s why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Examples include financial health, physical health, emotional health, leadership coaching, and formal mentorship opportunities.

Pay

Compensation details are confidential and will be discussed during the interview process.

Schedule

Morningstar offers a flexible hybrid work schedule, typically four days in-office each week.