Senior Software Engineer, AI Enablement & Solutions

Morningstar; Toronto; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Benefits package

Job summary

Morningstar DBRS seeks a Senior Software Engineer to shape how AI is used across the organization. You will build production AI applications and shared infrastructure, partnering with engineers, product teams, and business stakeholders to deploy AI capabilities into production.

You will lead design and development of APIs, MCP servers, and platform services, with hands-on work across Python, AWS Bedrock, and integration with enterprise systems.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Professional experience developing Python applications.
• Experience deploying AI-powered applications in production.
• Hands-on experience with AWS Bedrock or comparable platforms.
• Designing and consuming APIs and building distributed services.
• Ability to translate business problems into software solutions.
• Experience with AWS and production-grade software.

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.

Skills

Python

API design

Distributed systems

Stakeholder communication

Education

Bachelor's degree in Computer Science/Engineering

Tools

AWS Bedrock

Job description

Job Description

The Group

Morningstar DBRS provides independent credit ratings, research, and risk insights to market participants around the world. As AI becomes a practical tool for research, analysis, and operational workflows, we’re building the foundations that allow teams across the business to use it responsibly and effectively.

This team sits at the intersection of software engineering, AI, and business transformation. We build the platforms, services, and tools that help Morningstar DBRS move from experimentation to real-world adoption.

The Role

We’re looking for a Senior Software Engineer to help shape how AI is used across Morningstar DBRS.

This is not a research role and it is not focused on building isolated proofs of concept. You’ll develop the shared infrastructure, services, and applications that allow teams across the organization to deploy AI capabilities into production. You’ll work closely with engineers, product partners, and business stakeholders to identify opportunities where AI can improve workflows, reduce manual effort, and support better decision-making.

You’ll have significant influence over technical direction while remaining hands-on in the design, development, and operation of the systems you build.

What you’ll be doing

• 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.

What we’re looking for

• 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.

If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker.

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. In most of our locations, our hybrid work model is four days in-office each week. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues.

• A range of other benefits are also available to enhance flexibility as needs change.