Morningstar is hiring for an AI Engineer position in Mumbai. The role is suitable for candidates with 1–3 years of experience in AI, agentic workflows, analytics engineering, or software engineering

About Morningstar:

Morningstar is a leading global financial services firm headquartered in Chicago, Illinois. Founded by Joe Mansueto in 1984, it provides independent investment research, data, and analysis on hundreds of thousands of investment offerings—including mutual funds, ETFs, stocks, and private markets—for individual investors, financial advisors, and institutions.

Morningstar Off Campus 2026:

Company Name Morningstar
Post Name AI Engineer
Expected Salary up to ₹7.7 LPA*
Job Location Mumbai
JobType 1–3 years
Website  morningstar.com
Last date to apply Apply ASAP

*The salary/stipend may vary depending on industry estimates, as the salary is not officially disclosed by the company. We do not guarantee the accuracy of the stated amount.

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Responsibilities of an AI Engineer:

  • Design, develop, and deploy machine learning and Generative AI solutions.
  • Build and maintain scalable data and model pipelines across the ML lifecycle (data prep, modeling, evaluation, deployment, monitoring)
  • Develop GenAI applications using prompt workflows, embeddings, and Retrieval-Augmented Generation (RAG).
  • Contribute to AI agents and automation workflows that streamline marketing analysis and operations
  • Partner with Marketing and Analytics teams to translate business needs into technical solutions
  • Perform data preparation, feature engineering, and data validation.
  • Document AI systems, models, processes, and outputs.
  • Document systems, models, and outputs to ensure transparency and usability

Morningstar Eligibility Criteria:

  • Bachelor’s degree required
  • Master’s preferred in a quantitative field
  • 1–3 years of experience in AI, agentic workflows, analytics engineering, or software engineering

Required skills:

  • Has taken at least one project (professional or personal) through to a working, deployed state, including basic CI/CD or automated testing, not just prototyping or notebooks
  • Has built and maintained some form of evaluation or monitoring for a model or LLM output (accuracy tracking, logging, human review loop), even at small scale
  • Has experience designing tool-calling or agent orchestration logic, e.g. LLM agents, workflow automation, or MCP-style integrations
  • Proficiency in Python and SQL for data and model development
  • Familiarity with GenAI concepts (prompting, embeddings, vector search, evaluation)
  • Ability to work cross-functionally and communicate technical concepts clearly

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Morningstar Recruitment Selection Process:

  1. Online Application
  2. Resume Screening
  3. Online Assessment, if applicable
  4. Technical Interview
  5. AI/ML or Role-Specific Interview
  6. Final Interview
  7. Offer
  8. Background Verification
  9. Onboarding

The application steps may vary depending on the role/ team

 

Why Join Morningstar?

  • Development.
  • Coaching and support from senior.
  • Opportunities for learning

How to Apply for Morningstar Off Campus 2026?

To apply for this Off-Campus Drive, interested candidates must follow the procedure outlined below:

  1. Click on the “Apply here” button provided below. You will be redirected to the official career page.
  2. Click on “Apply”.
  3. If you have not registered before, create an account.
  4. After registration, log in and fill in the application form with all the necessary details.
  5. Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
  6. Verify that all the details entered are correct.
  7. Submit the application form after verification.

If you face any issues while applying. Do let us know in the comment section.

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Disclaimer: The recruitment information provided is for informational purposes only. It has been obtained from the official website of the organization, and we have no affiliation with the company. We do not provide any recruitment guarantees, The hiring process is to be conducted according to the official recruitment procedures of the company. There is no fee charged for providing this job information. For more details, please visit the Privacy Policy page.