Senior Software Engineer, AI Enablement & Solutions

Posted 23 Days Ago
Chicago, IL, USA
Hybrid
114K-167K Annually
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
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The Role
Build and operate production AI applications and shared platform capabilities using AWS Bedrock and Python. Develop AI agents, MCP servers, APIs, and distributed services; integrate AI into existing workflows; evaluate retrieval, tool-use, and orchestration approaches; and improve reliability, security, observability, and maintainability. Partner with technical and business stakeholders to identify opportunities, guide technical decisions, support delivery planning, and mentor less experienced engineers.
Summary Generated by Built In

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.

Compensation and 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. Here are some examples of the offerings we provide:

  • Financial Health

    • 100% 401k match up to 6% of salary

    • Stock Ownership Potential

    • Company provided life insurance - 1x salary + commission

  • Physical Health 

    • Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages

    • Additional medical Wellness Incentives - up to $300-$600 annual

    • Company-provided long- and short-term disability insurance

  • Emotional Health 

    • Trust-Based Time Off

    • 6-week Paid Sabbatical Program

    • 6-Week Paid Family Caregiving Leave

    • Competitive 8-24 Week Paid Parental Leave

    • Adoption Assistance

    • Leadership Coaching & Formal Mentorship Opportunities

    • Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses

    • Tuition Reimbursement

  • Social Health 

    • Charitable Matching Gifts program

    • Dollars for Doers volunteer program

    • Paid volunteering days

    • 15+ Employee Resource & Affinity Groups

Total Cash Compensation Range

$114,100.00-167,350.00

Inclusive of annual base salary and target incentive

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.

R06_DBRSInc DBRS, Inc. - US Legal Entity

Skills Required

  • Strong software engineering fundamentals and 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, including model integration, evaluation, and monitoring
  • Experience designing and consuming APIs, building distributed services, and integrating with enterprise systems
  • Practical experience with software architecture, testing, observability, and operational support
  • Ability to work with 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

What the Team is Saying

Anna
Upasna
Saurabh
Wendell
Raaghavendar
Jeff
Brandon
Kunal Kapoor
Elizabeth Collins
Marie Trzupek Lynch
Rod Diefendorf
Christine

Morningstar Compensation & Benefits Highlights

  • Leave & Time Off Breadth Policies include a paid sabbatical every four years and flexible PTO covering vacation, sick, and personal days, alongside paid volunteer time. Feedback suggests these features create meaningful flexibility and rest opportunities beyond standard leave plans.
  • Parental & Family Support A global minimum of 16 weeks paid parental leave for primary caregivers (up to 8 weeks for secondary) and at least six weeks of paid caregiving leave are publicly stated, with adoption assistance also available. These provisions indicate robust support for families during key life events.
  • Retirement Support U.S. materials document a 401(k) match of $0.75 per $1 up to 7% of pay and no‑cost access to Morningstar retirement tools. This combination strengthens long‑term savings and planning for employees.

Morningstar Insights

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The Company
HQ: Chicago, IL
11,500 Employees
Year Founded: 1984

What We Do

We are a global investment research and financial data company with 40-plus offices across North America, Europe, Australia, and Asia. Our products and services are used daily by individual investors, financial advisors, asset managers, retirement plan providers, and institutional investors. We provide data, research, and analysis across managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. The financial system can have real barriers—hidden information, friction that can slow decisions, and forces that can limit transparency and access. We work to remove them, bringing independent research, connected data, and investor-first tools to a system that needs more clarity. The people doing this work span research, technology, design, product, sales, and functional areas. We build many of our products in-house, so the work can connect directly to the tools investors use to make real financial decisions.

Why Work With Us

Imagining big things is in our blood -- it's transformed us from a company with just a few employees in 1984 to a leading independent investment research company with a worldwide presence today. As of April 2020, we acquired Sustainalytics to drive long-term meaningful outcomes for investors in the ESG space. Join us on this exciting journey!

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About our Teams

Morningstar Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 4 days a week
Company Office Image
HQGlobal Headquarters
Ambler, Pennsylvania
Amsterdam - De Oliphant
Bucuresti, Bucuresti
Cape Town, Western Cape
Dubai
Edinburgh, Scotland
Frankfurt - Junghofstraße
Frankfurt - Neue Mainzer Straße
New Delhi
Hong Kong
London - Oliver's Yard
London - Saffron House
Madrid, Comunidad de Madrid
Milano, Lombardia
Mumbai - Platinum Park
Mumbai - Vishwaroop
New York - Broadway
New York - Park Ave
Paris, Ile-de-France
San Francisco, California
PitchBook US Headquarters
Sham Chun Hu, Guangdong
Singapore, Singapore
Stockholm - Birger Jarlsgatan
Sydney - International Tower
Timisoara, Timis
Tokyo - Minato-ku
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Toronto, ON
Zürich, Zurich
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