Senior AI Enablement Engineer - Production AI Platforms

Morningstar

Chicago (IL)

Hybrid

USD 114,000 - 167,000

Full time

14 days+
Application generator

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Benefits offered by this job

Hybrid work model
Wellness programs

Job summary

Morningstar DBRS is seeking a Senior Software Engineer to shape how AI is used across our organization. You will build shared infrastructure, services, and applications to deploy AI capabilities into production, working with engineers, product partners, and business stakeholders.

You’ll influence technical direction while staying hands-on in design, development, and operation. The role emphasizes reliability, security, and maintainability within a hybrid work model.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
  • Experience building production AI-enabled applications on AWS.
  • Strong Python development experience and API design.

Responsibilities

  • Design and build production AI applications on AWS with focus on reliability and security.
  • Develop AI agents, MCP servers, APIs, and platform capabilities.
  • Collaborate with business partners to translate workflows into software.
  • Modernize Python apps and integrate AI into Morningstar DBRS products.
  • Contribute to technical decisions, standards, and delivery planning.
  • Mentor engineers as needed.

Skills

Python
AWS
Bedrock
APIs
Distributed systems
Production readiness
Observability
Stakeholder communication

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

AWS Bedrock

Job description

Morningstar DBRS is seeking a Senior Software Engineer to shape how AI is used across our organization. You will build shared infrastructure, services, and applications to deploy AI capabilities into production, working with engineers, product partners, and business stakeholders.

You’ll influence technical direction while staying hands-on in design, development, and operation. The role emphasizes reliability, security, and maintainability within a hybrid work model.

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