AI Engineering Intern

Your Journey at Crowe Starts Here:

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

Job Description:

• AI Engineering Intern
• Role Overview
• The AI Engineering Intern (Intern) supports the design, development, testing, and deployment of artificial intelligence solutions across the organization. This hands-on role provides exposure to core AI engineering practices—including model development, data preparation, and prototype creation—while contributing to supervised project tasks. Working closely with senior engineers, the intern builds foundational skills in coding standards, version control, evaluation techniques, and cloud-native development workflows. The intern collaborates with cross-functional teams, applies academic concepts to enterprise-scale systems, and gains the experience needed to grow into an entry-level engineering role.

This role emphasizes learning and skill development while delivering on assigned components, working under close supervision with frequent check-ins and code reviews, and building foundational technical skills and understanding of engineering practices. Successful interns demonstrate curiosity, initiative, and responsiveness to feedback.

In this role, you will:

Support the development of AI models and prototypes through data preparation, scripting, and experimentation

Assist in implementing components of AI pipelines, including preprocessing, model training, and testing workflows

Participate in code reviews and supervised engineering tasks to learn best practices

Contribute to documentation of prototypes, experiments, and engineering processes

Execute test cases and validation procedures to verify model performance and reliability

Analyze datasets to extract insights and generate features under guidance

Learn cloud-based tools, containerization, and orchestration concepts relevant to AI deployment

Collaborate with team members to solve technical problems and complete scoped tasks

Follow established coding, security, and compliance guidelines

Explore emerging AI technologies and frameworks to build foundational understanding

Qualifications

Pursuing a degree in Computer Science, Engineering, Data Science, or a related field

Working knowledge of foundational programming concepts and data structures, with exposure to Python

Familiarity with core AI/ML concepts gained through coursework or independent projects

Ability to communicate technical ideas clearly and collaborate effectively within a team

Exposure to cloud platforms such as AWS, Azure, or GCP, along with containerization concepts including Docker and Kubernetes

Introductory understanding of CI/CD practices and distributed computing fundamentals

Curiosity-driven approach to learning, with responsiveness to feedback and coaching

Some grounding in generative AI frameworks such as PyTorch, TensorFlow, or Hugging Face

Beginning awareness of LLM concepts, including RAG workflows, vector databases, and fine-tuning techniques

Preferred Qualifications

Academic or project-based experience applying AI/ML concepts

Awareness of low-code automation platforms such as Microsoft Power Platform (Power Apps, Power Automate)

Familiarity with developer-focused AI tools such as Replit Agent or similar agentic coding platforms

• Minimum Knowledge Expectations
• All candidates for Crowe Studio positions are expected to demonstrate baseline AI and technical knowledge, regardless of role or level.

• Core Knowledge Areas
• All Crowe Studio team members are expected to have working knowledge in the following areas:

Basic ML/AI literacy (training vs inference, knowledge cutoffs, LLM fundamentals)

Prompt engineering and instruction hierarchies

Context window and context management

Model selection and capabilities

Fine-tuning vs prompting vs RAG

Hallucination and grounding strategies

Guardrails and output validation

Evals and testing approaches

Security and PII awareness

Responsible AI and governance

LLM APIs and integration standards

RAG and vector search

Vector databases and embeddings

Agentic workflows and tool use

Cost and performance awareness

Common enterprise use cases

• What We Look For
• Beyond technical knowledge, we look for candidates who demonstrate:

Intellectual curiosity – asking thoughtful questions and seeking deeper understanding

Attention to detail – noticing subtle issues and inconsistencies

Analytical thinking – breaking down complex problems and thinking critically

Tenacity – following issues through to resolution, even when challenging

Strong communication – conveying ideas clearly to technical and non-technical audiences

We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time.

• 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 Crowe, 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 $27.00 - $42.00 per hour.
• Our Benefits:
• Your exceptional people experience starts here. At Crowe, we know that great people are what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!

• How You Can Grow:
• We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!

• More about Crowe:
• Crowe provides professional services through two separate entities: Crowe LLP delivers audit and attest services, and Crowe Advisory LLC provides tax, advisory, consulting, and other nonattest services.

The Crowe Global network consists of more than 300 independent accounting and advisory services firms in more than 150 countries around the globe, making it one of the largest accounting networks in the world.* As independent members of Crowe Global, Crowe LLP and Crowe Advisory LLC serve clients worldwide.

*As of July 2026.

Crowe LLP and Crowe Advisory LLC (and their respective subsidiary entities) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability