... internship experience welcome). * Foundational knowledge of machine learning, generative AI, LLMs, and agentic/RAG-based systems - how they're built, validated, monitored, and where they can fail.
... internship experience welcome). * Foundational knowledge of machine learning, generative AI, LLMs, and agentic/RAG-based systems - how they're built, validated, monitored, and where they can fail.
Rag Internship information
What is a RAG internship?
A Rag Internship typically refers to a student internship position that is part of a university's 'Rag' (Raise and Give) society or committee, which organizes fundraising events and campaigns for charitable causes. Interns in these roles assist with event planning, marketing, volunteer coordination, and general administrative tasks to support fundraising initiatives. This position offers students practical experience in event management, teamwork, and communication, while contributing to charitable work. Rag Internships are usually unpaid and are a great way for students to develop transferable skills.
What can I expect from the typical workflow and team collaboration during a RAG internship?
During a RAG internship, you can expect to work closely with machine learning engineers, data scientists, and software developers to design, implement, and optimize information retrieval systems that power generative AI models. Your daily tasks may include processing large datasets, experimenting with retrieval algorithms, evaluating model outputs, and contributing to documentation or presentations. Interns often participate in regular team meetings, code reviews, and brainstorming sessions to discuss technical challenges and share progress. This collaborative environment helps you develop both technical and communication skills, while gaining hands-on experience with state-of-the-art NLP technologies.
What are the key skills and qualifications needed to thrive as a RAG intern, and why are they important?
To excel as a RAG Internship candidate, you should possess a solid understanding of natural language processing, machine learning fundamentals, and programming skills, typically supported by coursework in computer science or data science. Familiarity with tools such as Python, PyTorch or TensorFlow, and experience working with large language models and retrieval systems are often required. Strong problem-solving abilities, attention to detail, and effective communication set outstanding interns apart. These competencies enable interns to contribute meaningfully to AI research teams, support innovative projects, and adapt to the rapidly evolving field of AI.
What is the difference between Rag Internship vs Data Analyst Internship?
| Aspect | Rag Internship | Data Analyst Internship |
|---|---|---|
| Required Credentials | Basic coursework, some technical skills | Relevant degree, proficiency in data tools |
| Work Environment | Entry-level, project-based, team settings | Office or remote, analytical tasks |
| Industry Usage | Common in creative and design fields | Widely used across finance, marketing, tech |
Rag Internships typically focus on introductory tasks in creative or design fields, requiring basic skills and offering hands-on experience. Data Analyst Internships are more specialized, demanding relevant technical skills and data knowledge. Both provide valuable industry exposure but differ in skill requirements and work focus.
What are the most commonly searched types of Rag jobs in Indiana?
The most popular types of Rag jobs in Indiana are:
What are popular job titles related to Rag Internship jobs in Indiana?
For Rag Internship jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Rag Internship jobs in Indiana look for?
The top searched job categories for Rag Internship jobs in Indiana are:
What cities in Indiana are hiring for Rag Internship jobs?
Cities in Indiana with the most Rag Internship job openings:
Full-time
Posted 7 days ago
Deloitte rating
8.2
Based on 93 frontline employees who took The Breakroom Quiz
46th of 152 rated financial services
Job description
AI is reshaping how companies operate - from machine learning models driving accounting estimates and automating close processes, to broader AI systems and agents deployed across operations, risk management, and decision-making enterprise-wide. In this role, you'll support engagement teams in identifying, understanding, and evaluating AI systems at the entities we audit and advise - helping assess governance, risk, and controls wherever AI is in use, and contributing to the design of appropriate audit and assurance responses under the guidance of senior team members.
Recruiting for this role ends on 9/2/2026.
Work You'll Do
AI Risk, Governance & Controls Assessment
- Support engagement teams in identifying and documenting how client entities are using AI - across financial reporting processes and broader enterprise functions - including intelligent automation, AI agents, and agentic systems.
- Assist in evaluating AI model complexity, reliability, and performance - applying statistical and quantitative methods to assess model inputs, outputs, and assumptions, including drift and year-over-year change, under the direction of senior team members.
- Help assess governance structures and risk management practices around AI systems, referencing recognized frameworks (e.g., NIST AI RMF, ISO/IEC 42001) as part of broader team assessments.
- Support the preparation of assessment reports, maturity scorecards, and other client deliverables that document governance gaps and recommended remediation.
Audit Response & Controls Testing
- Support the evaluation of process vs. control determinations, including the appropriateness of human oversight and monitoring controls over AI systems (e.g., human-in-the-loop reviews, KPI monitoring controls).
- Assist in designing audit responses to AI-related risks, including controls testing over AI governance, data inputs, and model outputs.
- Support planning and execution of substantive procedures over account balances and transactions impacted by the use of AI (e.g., accounting estimates derived from ML models, automated journal entries, AI-driven reconciliations).
Communication & Team Collaboration
- Support day-to-day communication with client working teams (e.g., IT, risk, business process owners) as part of the broader engagement team.
- Assist in preparing materials and supporting analysis for status updates and workshops with client stakeholders.
- Communicate technical AI/ML concepts clearly in team settings and client working sessions, under the guidance of senior team members.
- Stay current on developments across the AI landscape and contribute to internal training materials and team knowledge-sharing.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The Team
The AI Specialist team sits within Deloitte's Valuation & Analytics practice, embedded in Audit & Assurance. We work with engagement teams across industries to navigate the growing presence of AI in the entities we audit and advise - a high-visibility, high-growth area where you'll build foundational experience while supporting how Deloitte approaches AI across the enterprise.
Qualifications
Required:
- Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, Accounting, Finance, or a related field.
- 1+ years of experience in AI/ML, risk and controls, external or internal audit, advisory, or a technology-focused role (internship experience welcome).
- Foundational knowledge of machine learning, generative AI, LLMs, and agentic/RAG-based systems - how they're built, validated, monitored, and where they can fail.
- Basic understanding of internal controls frameworks (e.g., COSO, ICFR) and risk assessment principles.
- Exposure to model evaluation concepts, such as assessing model accuracy, robustness, and fitness for purpose.
- Solid grounding in statistics and quantitative methods - including regression, hypothesis testing, and probability.
- You should reside within a commutable distance of your assigned office with the ability to commute daily, if required.
- You should expect to co-locate with team members or other colleagues in a Deloitte office, at a client site and/or virtually, based on specific team and business expectations.
- Ability to travel up to 25%, on average, based on the type of work you perform and the clients served.
- Limited immigration sponsorship may be available.
Preferred:
- Hands-on experience with AI/ML tools - e.g., Python (scikit-learn, pandas, PyTorch/TensorFlow), cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI), or similar.
- Familiarity with the AI regulatory landscape - including the EU AI Act, NIST AI RMF, and related standards.
- Exposure to advisory or assurance engagements involving organizational governance, risk, or controls (e.g., IT general controls reviews, enterprise risk assessments) outside of the financial statement audit.
- Master's degree in Computer Science, Data Science, Information Systems, Statistics, or a related field.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $67,950 to $136,375.
Qualifications:AI is reshaping how companies operate - from machine learning models driving accounting estimates and automating close processes, to broader AI systems and agents deployed across operations, risk management, and decision-making enterprise-wide. In this role, you'll support engagement teams in identifying, understanding, and evaluating AI systems at the entities we audit and advise - helping assess governance, risk, and controls wherever AI is in use, and contributing to the design of appropriate audit and assurance responses under the guidance of senior team members.
Recruiting for this role ends on 9/2/2026.
Work You'll Do
AI Risk, Governance & Controls Assessment
- Support engagement teams in identifying and documenting how client entities are using AI - across financial reporting processes and broader enterprise functions - including intelligent automation, AI agents, and agentic systems.
- Assist in evaluating AI model complexity, reliability, and performance - applying statistical and quantitative methods to assess model inputs, outputs, and assumptions, including drift and year-over-year change, under the direction of senior team members.
- Help assess governance structures and risk management practices around AI systems, referencing recognized frameworks (e.g., NIST AI RMF, ISO/IEC 42001) as part of broader team assessments.
- Support the preparation of assessment reports, maturity scorecards, and other client deliverables that document governance gaps and recommended remediation.
Audit Response & Controls Testing
- Support the evaluation of process vs. control determinations, including the appropriateness of human oversight and monitoring controls over AI systems (e.g., human-in-the-loop reviews, KPI monitoring controls).
- Assist in designing audit responses to AI-related risks, including controls testing over AI governance, data inputs, and model outputs.
- Support planning and execution of substantive procedures over account balances and transactions impacted by the use of AI (e.g., accounting estimates derived from ML models, automated journal entries, AI-driven reconciliations).
Communication & Team Collaboration
- Support day-to-day communication with client working teams (e.g., IT, risk, business process owners) as part of the broader engagement team.
- Assist in preparing materials and supporting analysis for status updates and workshops with client stakeholders.
- Communicate technical AI/ML concepts clearly in team settings and client working sessions, under the guidance of senior team members.
- Stay current on developments across the AI landscape and contribute to internal training materials and team knowledge-sharing.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The Team
The AI Specialist team sits within Deloitte's Valuation & Analytics practice, embedded in Audit & Assurance. We work with engagement teams across industries to navigate the growing presence of AI in the entities we audit and advise - a high-visibility, high-growth area where you'll build foundational experience while supporting how Deloitte approaches AI across the enterprise.
Qualifications
Required:
- Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, Accounting, Finance, or a related field.
- 1+ years of experience in AI/ML, risk and controls, external or internal audit, advisory, or a technology-focused role (internship experience welcome).
- Foundational knowledge of machine learning, generative AI, LLMs, and agentic/RAG-based systems - how they're built, validated, monitored, and where they can fail.
- Basic understanding of internal controls frameworks (e.g., COSO, ICFR) and risk assessment principles.
- Exposure to model evaluation concepts, such as assessing model accuracy, robustness, and fitness for purpose.
- Solid grounding in statistics and quantitative methods - including regression, hypothesis testing, and probability.
- You should reside within a commutable distance of your assigned office with the ability to commute daily, if required.
- You should expect to co-locate with team members or other colleagues in a Deloitte office, at a client site and/or virtually, based on specific team and business expectations.
- Ability to travel up to 25%, on average, based on the type of work you perform and the clients served.
- Limited immigration sponsorship may be available.
Preferred:
- Hands-on experience with AI/ML tools - e.g., Python (scikit-learn, pandas, PyTorch/TensorFlow), cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI), or similar.
- Familiarity with the AI regulatory landscape - including the EU AI Act, NIST AI RMF, and related standards.
- Exposure to advisory or assurance engagements involving organizational governance, risk, or controls (e.g., IT general controls reviews, enterprise risk assessments) outside of the financial statement audit.
- Master's degree in Computer Science, Data Science, Information Systems, Statistics, or a related field.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $67,950 to $136,375.
Education:Bachelor's DegreeEmployment Type:
About Deloitte
Sourced by ZipRecruiter
Industry
Finance and insurance and business management consulting
Company size
10,000+ Employees
Headquarters location
Orlando, FL, US