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Morningstar Business Summer Internship Program 2027
Chicago, Illinois, United States · On-site
Entry level$91M raised
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Skills: Research, Analysis, Critical thinking, Creative problem-solving, Communication
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Full-time
bachelor degree, postgraduate degree, professional certificate
Hybrid work environment, Flexibility
Posted 9h ago
~40 hrs/week
Responsibilities
The manager will partner with business leaders to identify and frame AI use cases while designing practical, scalable AI solutions. They will also lead the hands-on development of prototypes and MVPs while coaching teams on responsible AI practices and implementation.
Requirements
Candidates must possess a bachelor's degree in a technical field and 8-12 years of professional experience in AI solution engineering or digital transformation. Strong proficiency in AI/ML technologies, business consulting, and architecture design is required.
Full job description
About Morningstar Morningstar, Inc. is a leading provider of independent investment insights in North America, Europe, Australia, and Asia. The Company offers an extensive line of products and services for individual investors, financial advisors, asset managers and owners, retirement plan providers and sponsors, institutional investors in the debt and private capital markets, and alliances and redistributors.
Morningstar provides data and research insights on a wide range of investment offerings, including managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data.
Roles and Responsibilities
A. AI Advisory and Business Problem Framing
Partner with functional leaders, managers and AI Champions to identify workflow pain points, productivity opportunities, quality challenges, turnaround-time bottlenecks and client-experience improvement areas that could benefit from AI.
Challenge vague AI ideas and convert them into outcome-oriented use cases with clear scope, and measurable value
Help business sponsors articulate success measures such as hours saved, effort reduction, throughput improvement, accuracy improvement, faster cycle time, reduced rework or improved user satisfaction.
B. Solution Design and Architecture Advisory
Translate business requirements into practical AI solution designs, including user flow, data flow, model/tool choice, integration points, controls, monitoring needs and expected operational ownership.
Recommend the appropriate solution path across multi-stack options such as Microsoft Copilot / Copilot Studio, Azure OpenAI, OpenAI APIs, AWS Bedrock, internal platforms, vendor tools, workflow automation, OCR/document AI, data pipelines or traditional automation.
Define prototype architecture for solutions such as document summarization, classification, extraction, assisted research, SOP automation, knowledge assistants, workflow triage, QA automation, report generation and decision-support tools.
Collaborate with technology, security, data, enterprise architecture and platform teams to validate feasibility and ensure solution alignment with enterprise standards.
C. Hands-on MVP Solution Development and Delivery Ownership
Build or co-build working prototypes and MVP solutions to validate assumptions before large-scale investment.
Use practical development tools such as Python, APIs, low-code platforms, automation tools, cloud AI services and enterprise AI platforms to demonstrate feasibility.
Own selected AI initiatives from discovery through prototype, pilot and implementation handoff, ensuring clear scope, milestones, dependencies, risks and stakeholder decisions.
Coordinate with business sponsors, AI Champions, product/technology teams, governance reviewers and external partners to remove blockers and maintain momentum.
D. AI Enablement, and Responsible AI
Coach teams on use-case framing, prompt design, responsible experimentation, and impact measurement.
Create reusable assets such as use-case canvas templates, prompt libraries, architecture patterns, RAG design checklists, evaluation rubrics, business case templates and governance checklists
Embed responsible AI principles into solution design, including human oversight, explainability where appropriate, data minimization, privacy, security, fairness, quality evaluation and escalation paths.
Identify potential risks such as sensitive data exposure, hallucination, over-automation, insufficient human review, regulatory constraints, intellectual property concerns, model drift or poor user adoption.
Required Academic and Professional Qualifications
Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Statistics, Mathematics, or a related quantitative/technical discipline.
Preferred: MBA, postgraduate degree or executive education in AI/ML.
Preferred certifications: Microsoft Azure AI Engineer / Azure Solutions Architect, Google Cloud AI/ML certifications, or recognized GenAI / responsible AI credentials.
8–12 years of professional experience in AI solution engineering and transformation, digital transformation, solution architecture, consulting, intelligent automation
At least 3 years of experience working on AI, analytics, automation, data-driven or digital solution initiatives where technology was used to solve business workflow problems.
Demonstrated hands-on exposure to building or co-building AI solutions, prototypes, MVPs, automations, AI assistants, analytics tools, workflow applications or data-driven solutions.
Experience in a GCC or financial services or consulting environment is strongly preferred
Competency Area and Required Capabilities
AI and GenAI fluency - LLMs, GenAI, prompt engineering, RAG, agents, model evaluation, AI risks
Architecture thinking - Data flow, integration, APIs, cloud AI services, security and deployment considerations
Hands-on development - Python, APIs, automation tools, low-code tools, AI platforms, testing approaches.
Business consulting - Problem framing, value sizing, stakeholder interviews, prioritization, business cases.
Communication - Executive storytelling, workshop facilitation, clear documentation
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.
I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity
Morningstar, Inc. is a leading provider of independent investment insights in North America, Europe, Australia, and Asia. The Company offers an extensive line of products and services for individual investors, financial advisors, asset managers and owners, retirement plan providers and sponsors, institutional
investors in the debt and private capital markets, and alliances and redistributors. Morningstar provides data and research insights on a wide range of investment offerings, including managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. Morningstar also offers investment management services through its investment advisory subsidiaries, with approximately $369 billion in AUMA as of Sept. 30, 2025. The Company operates through wholly-owned subsidiaries in 32 countries.
Offices: 22 W. Washington St., Chicago, IL 60602, US · Calle de Maria de Molina, 39, Madrid, Community of Madrid 28006, ES · 1 Toronto St, Suite 500, Toronto, Ontario M5C 2V6, CA · 1155 Boulevard René-Lévesque O, Suite 2500, Montreal, Quebec H3B 2J6, CA · Rua Prof. Atílio Innocenti, 165, sala 3-123, Vila Nova Conceição, São Paulo, SP, BR
Morningstar, Inc. is a leading provider of independent investment insights in North America, Europe, Australia, and Asia. The Company offers an extensive line of products and services for individual investors, financial advisors, asset managers and owners, retirement plan providers and sponsors, institutional
investors in the debt and private capital markets, and alliances and redistributors. Morningstar provides data and research insights on a wide range of investment offerings, including managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. Morningstar also offers investment management services through its investment advisory subsidiaries, with approximately $369 billion in AUMA as of Sept. 30, 2025. The Company operates through wholly-owned subsidiaries in 32 countries.
Offices: 22 W. Washington St., Chicago, IL 60602, US · Calle de Maria de Molina, 39, Madrid, Community of Madrid 28006, ES · 1 Toronto St, Suite 500, Toronto, Ontario M5C 2V6, CA · 1155 Boulevard René-Lévesque O, Suite 2500, Montreal, Quebec H3B 2J6, CA · Rua Prof. Atílio Innocenti, 165, sala 3-123, Vila Nova Conceição, São Paulo, SP, BR