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Internship Ai Computer Science Jobs in Columbus, OH

As an AI Engineer at BWE, you design, build, and refine the tools that bring artificial ... Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field.

Lead AI-ML Engineer

Westerville, OH · On-site

$99.40K - $130.90K/yr

... using AI/ML techniques. • Perform data analysis, generate insights, and identify patterns to ... Required Skills & Qualifications: • Bachelor's or Master's degree in Computer Science, Data ...

Lead AI-ML Engineer

Westerville, OH · On-site

$98.80K - $130.10K/yr

... using AI/ML techniques. • Perform data analysis, generate insights, and identify patterns to ... Required Skills & Qualifications: • Bachelor's or Master's degree in Computer Science, Data ...

AI Architect

Westerville, OH

$60.75 - $80/hr

Architect Generative AI solutions using the latest techniques such as retrieval augmented ... Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field. * At least 7 ...

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110.40K - $132.60K/yr

Required : • Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field ... AI) and advanced data architectures (i.e.: Multimodal Data Management & Model Design, Data Mesh ...

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

Architect Generative AI solutions using the latest techniques such as retrieval augmented ... Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field. * At least 7 ...

If you have code in the open domain (for example GitHub) or have written about AI/DS please share ... statistics or computer science) are the ideal candidates. * At least 2+ years of industry ...

... statistics or computer science) are the ideal candidates. • At least 2+ years of industry ... AI/DS please share this with us • Experience with Deep Learning architectures and/or ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

What We Look For In a Computer Programming Tutor * Advanced Subject Mastery: Deep knowledge of ... advanced technology, AI, and the latest in learning science to create personalized learning ...

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Internship Ai Computer Science information

What are the key skills and qualifications needed to thrive as an AI Computer Science Intern, and why are they important?

To thrive as an AI Computer Science Intern, you need a solid understanding of programming languages (such as Python or Java), data structures, algorithms, and foundational AI concepts, typically supported by ongoing or completed studies in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems (such as Git), and data analysis tools is highly beneficial. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help interns stand out. These skills and qualities are crucial for contributing to complex AI projects, adapting to new technologies, and collaborating effectively within technical teams.

What types of projects can I expect to work on during an AI Computer Science internship?

As an AI Computer Science intern, you can expect to work on projects such as developing machine learning models, analyzing large datasets, assisting with algorithm optimization, or contributing to research on natural language processing or computer vision. Interns often collaborate with cross-functional teams including data scientists, software engineers, and product managers. The work environment is typically fast-paced and encourages learning, experimentation, and regular feedback. You'll have opportunities to present your findings, participate in code reviews, and attend team meetings, helping you build both technical and professional skills.

What is an AI Computer Science internship?

An AI Computer Science internship is a temporary position for students or recent graduates to gain hands-on experience working with artificial intelligence technologies and computer science concepts. Interns typically work on real-world projects involving machine learning, data analysis, programming, and algorithm development. These internships help build practical skills, expand professional networks, and often serve as a stepping stone to full-time jobs in the tech industry.
What are popular job titles related to Internship Ai Computer Science jobs in Columbus, OH? For Internship Ai Computer Science jobs in Columbus, OH, the most frequently searched job titles are:
What cities near Columbus, OH are hiring for Internship Ai Computer Science jobs? Cities near Columbus, OH with the most Internship Ai Computer Science job openings:
Infographic showing various Internship Ai Computer Science job openings in Columbus, OH as of May 2026, with employment types broken down into 1% Internship, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 60% Physical, 6% Hybrid, and 34% Remote job distribution.

Full-time

Posted 27 days ago


Job description

You turn possibility into production. As an AI Engineer at BWE, you design, build, and refine the tools that bring artificial intelligence into daily business workflows. From LLM-powered copilots to custom integrations and automation, your work helps scale innovation responsibly and reliably. We count on you to make AI real-usable, efficient, and aligned with how we work.

Responsibilities:

  • Develop and deploy AI applications and integrations using Azure AI services, LLM APIs, Microsoft Power Platform, and third-party AI tools that enhance business productivity.

  • Fine-tune and customize AI models to improve accuracy, relevance, and performance for specific business use cases across origination, closing, and servicing workflows.

  • Monitor and optimize performance of AI systems, ensuring quality, responsiveness, and cost efficiency in production environments.

  • Collaborate with AI Solutions Architect, Business Partners, and end users to understand workflows and deliver usable, intuitive AI-powered tools.

  • Contribute to AI governance frameworks, documentation, and continuous learning around responsible AI use and best practices.

  • Support citizen developers by creating AI components, templates, and integrations that enable business users to build AI-enhanced solutions.

  • Partner with AIOps Engineer to implement monitoring, alerting, and optimization strategies for AI applications and services.

  • Participate in rapid prototyping and proof-of-concept development to validate AI use cases and technical feasibility.

  • Implement security and compliance controls for AI applications ensuring adherence to financial services regulations and data privacy requirements.

  • Research and experiment with emerging AI technologies and techniques to enhance BWE's AI capabilities and competitive advantage.

  • Maintain and update AI application code, deployment pipelines, and integration frameworks as technologies evolve.

  • Provide technical support and troubleshooting for deployed AI solutions across business functions.

Minimum Qualifications:

  • 3-5 years of experience in AI/ML engineering, automation, software development, or related technical roles.

  • Proficiency with Python and experience working with APIs, Large Language Models (LLMs), and cloud-based AI services.

  • Strong familiarity with Microsoft ecosystem including Azure AI, Power Automate, Power Apps, and Copilot platforms.

  • Experience with AI model deployment, monitoring, and optimization in production environments.

  • Knowledge of software development best practices including version control, testing, and deployment automation.

  • Understanding of data processing, ETL workflows, and integration with enterprise systems.

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field.

  • Ability to balance experimentation and innovation with structured, scalable deployment practices.

Preferred Qualifications:

  • Experience with multiple AI platforms beyond Microsoft ecosystem (OpenAI, AWS AI, Google Cloud AI).

  • Knowledge of AI model fine-tuning, training, and optimization techniques for enterprise applications.

  • Familiarity with DevOps practices, containerization (Docker, Kubernetes), and CI/CD pipelines for AI applications.

  • Experience in CRE, financial services, or regulated industries with compliance and security requirements.

  • Understanding of AI governance, model risk management, and responsible AI deployment practices.

  • Knowledge of natural language processing, computer vision, or other specialized AI domains.

  • Experience supporting citizen development initiatives and low-code/no-code platform development.

We encourage you to explore the career opportunities we have available here at BWE!