Senior Software Engineer, AI Enablement & Solutions
About The Position
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. 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.
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 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.
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.
Benefits
- 100% 401k match up to 6% of salary
- Stock Ownership Potential
- Company provided life insurance - 1x salary + commission
- 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
- 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
- Charitable Matching Gifts program
- Dollars for Doers volunteer program
- Paid volunteering days
- 15+ Employee Resource & Affinity Groups
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What This Job Offers
Job Type
Full-time
Career Level
Senior
