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About the Role

We are seeking a Senior Software Engineer to help shape the responsible and effective use of AI across Morningstar DBRS. This role focuses on developing shared infrastructure, services, and applications that enable the deployment of AI capabilities into production, rather than building isolated proofs of concept. You will work closely with various teams to identify opportunities for AI to improve workflows and support decision-making, significantly influencing technical direction while remaining hands-on.

Responsibilities

Design and build production AI applications using AWS Bedrock and related AWS services, focusing on reliability, security, and maintainability.
Develop AI agents, MCP servers, APIs, and shared platform capabilities to enable other teams in building and deploying AI-powered solutions.
Partner with business and technology teams to understand complex workflows and identify opportunities for AI-driven improvements.
Evaluate and implement approaches such as tool use, retrieval-based architectures, orchestration frameworks, and model evaluation techniques.
Modernize existing Python-based applications and integrate AI capabilities into current products and workflows.
Contribute to technical decisions, engineering standards, and delivery planning, while guiding less experienced engineers.

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 their surrounding ecosystem.
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.
Disclosure of personal and related investments to the Compliance team is required upon offer acceptance.
Potential requirement to liquidate holdings or move accounts to an approved broker to meet Code of Ethics requirements.

Skills

AWS Bedrock
Python
API Design
Distributed Services
Enterprise Systems Integration
Software Architecture
Testing
Observability
Operational Support
AI Agents
MCP Servers
Tool Use
Retrieval-Based Architectures
Orchestration Frameworks
Model Evaluation Techniques

Location

Global

Work Type

Hybrid

Experience Level

Senior

Education Level

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

Salary/Compensations

90,489 to 132,711 CAD

Benefits

Bonus Target Percentage: 15%
Hybrid work environment with four days in-office in most locations
A range of other benefits available to enhance flexibility

About the Company

Morningstar DBRS provides independent credit ratings, research, and risk insights to market participants globally.
We are building the foundations for responsible and effective AI use across the business.
Our team operates at the intersection of software engineering, AI, and business transformation, building platforms, services, and tools for AI adoption.