Senior Software Engineer - AI Enablement

Software Engineer, AI Enablement

Morningstar DBRS is a leading provider of independent credit rating services and opinions for corporate and sovereign entities, financial institutions, and project and structured finance instruments globally. Rating more than 4,500 issuers and 68,000 securities, we are one of the top four credit rating agencies in the world and a market leader in Canada, the U.S., and Europe in multiple asset classes.

For 50 years, Morningstar DBRS has been committed to bringing greater transparency and a much-needed diversity of opinion in the credit rating industry. Our nimble approach combined with Morningstar’s global scale and resources enable us to respond to customers' needs in their local markets while also empowering investor success worldwide. Market innovators choose to work with us because of our agility, tech-forward approach, and exceptional customer service.

Visit dbrs.morningstar.com/careers to learn more.

The Role:

We are seeking a Senior Software Engineer to enable AI adoption across the Morningstar DBRS group. This role also includes developing new systems as well as maintaining and enhancing existing applications. The ideal candidate has experience building AI agents and commercial-grade, web-based applications. You will work with other engineers to develop AI agents, MCP servers, and APIs and to modernize the platform to deliver leading product experiences. You will also help prioritize work to meet project goals.

This position is based in our Mumbai office.

Responsibilities

• Build and maintain AI agents using Microsoft Copilot Studio or similar tools and enable teams across Morningstar DBRS to build AI agents.

• Build and maintain AI-based applications in the cloud using AWS Bedrock and related AWS services.

• Build end-to-end web applications with Python for the back end using GitHub Copilot or Claude Code

• Use an Agile approach to iteratively deliver enhancements and new functionality.

• Stay up to date on emerging technologies and industry best practices.

• Build secure, reusable code and follow best practices for object-oriented design and continuous integration/continuous deployment (CI/CD).

Requirements

• Bachelor’s degree in computer science or an engineering field; a graduate degree is preferred.

• At least two years of programming experience.

• Experience with AI tools and frameworks such as Microsoft Copilot Studio and AWS Bedrock.

• Understanding of Retrieval-augmented generation (RAG), vector databases, and MCP development.

• Experience with Python, SQL/NoSQL databases, and AWS.

• Experience of using GitHub Copilot or Claude Code for as an AI assistant during software development.

• Understanding of Continuous Integration (CI); experience with tools such as Jenkins or Harness is a plus.

• Drive continuous improvement by delivering initiatives that improve performance, processes, and controls.

• Experience with distributed computing and cloud platforms is a plus.

• Experience with source code management using Git is a plus.

• Experience working in an Agile team environment.

• Strong coding and documentation habits, with the ability to build and maintain enterprise-grade applications.

• Ability to make thoughtful recommendations on analysis, design, implementation, and troubleshooting.

• Strong written and verbal communication skills in English.

• Proven ability to perform in a demanding environment with a flexible attitude.

Morningstar is an equal opportunity employer.

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. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

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Experience Level

Mid Level