Senior Software Engineer, AI Enablement & Solutions

Morningstar; New York (NY); Hybrid; USD 113.000 - 166.000; Vollzeit

Benefits dieser Stelle

401k match

Stock ownership

Life insurance

Health benefits

Sabbatical

Parental leave

Wellness stipend

Zusammenfassung

Morningstar DBRS seeks a Senior Software Engineer to shape how AI is used across the organization. You will design and deploy production AI capabilities, manage shared infrastructure, and work with engineers, product partners, and business stakeholders to drive measurable workflow improvements.

You will own the development of production-grade Python applications, APIs, and services, while guiding technical direction and mentoring less experienced engineers in a fast-paced environment.

Qualifikationen

• Proven experience building and operating production applications in AWS.
• Experience developing Python-based services and applications.
• Experience delivering AI-powered applications beyond experiments across internal or external users.
• Strong understanding of APIs, service design, and observability.

Aufgaben

• Design and build production AI applications with AWS Bedrock and related services.
• Develop AI agents, APIs, and platform capabilities for enterprise use.
• Collaborate with business and tech teams to map complex workflows to software solutions.
• Evaluate approaches for model integration, orchestration, and evaluation to improve accuracy.
• Modernize legacy Python apps and integrate AI capabilities into Morningstar DBRS products.

Kenntnisse

AWS

Python

APIs

Distributed systems

Stakeholder communication

Ausbildung

Bachelor's degree in Computer Science or Engineering

Tools

AWS Bedrock

MCP servers

Jobbeschreibung

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.

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.

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.

Base Salary Range: 113,222 to 166,052

Bonus Target Percentage - 15%

If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentially to our Compliance team. 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.

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

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.