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Internship Ai Computer Science Jobs in Springfield, MO

Maximus

Junior CIC Analyst

Springfield, MO · On-site

... Computer Science, or a related field (or equivalent experience). Preferred Skills and ... AI-assisted tools for documentation and operational efficiency. - Strong attention to detail and ...

Jack Henry and Associates

Senior Go Engineer

Springfield, MO · On-site

$95K - $130K/yr

... computer science is desired but not required. * Experience working in microservice architecture. * Experience developing cloud-hosted applications (e.g., Google Cloud Platform). * Experience with AI ...

TERRACON

Geotechnical Field Engineer

Springfield, MO · On-site

From AI-supported solutions and predictive technologies to geophysics and traditional exploration ... Performs plan drafting using CAD software. * May work with engineering technician crews in testing ...

TERRACON

Geotechnical Field Engineer

Springfield, MO · On-site

Performs plan drafting using CAD software. * May work with engineering technician crews in testing ... From AI-supported solutions and predictive technologies to geophysics and traditional exploration ...

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Internship Ai Computer Science information

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 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 are popular job titles related to Internship Ai Computer Science jobs in Springfield, MO? For Internship Ai Computer Science jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Internship Ai Computer Science jobs in Springfield, MO look for? The top searched job categories for Internship Ai Computer Science jobs in Springfield, MO are:
Internship Ai Computer Science jobs near you
Infographic showing various Internship Ai Computer Science job openings in Springfield, MO as of July 2026, with employment types broken down into 72% Full Time, 26% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Senior Software Architect

Senior Software Architect

Digital Monitoring Products

Springfield, MO • On-site

$109K - $148K/yr

Full-time

Posted 10 days ago

Job description

Description
The Senior Software Architect will design, implement, and maintain SecureCom enterprise software systems that support the company's strategic goals. This role requires strong expertise in front-end and back-end development, full-stack software architecture, and modern cloud-native solutions, while ensuring current system integration and long-term maintainability.
Qualifications:
  • Bachelor's degree in Computer Science or related field.
  • 10+ years of experience in software development, including large-scale system design
  • 5+ years of experience working with enterprise-level, high-availability databases
  • Proven experience across multiple programming languages and frameworks, including:
    • Microsoft .NET Framework/ .NET Core
    • Ruby
    • Go
    • Node.js
    • Web front-end technologies & frameworks: React, Angular, Vue.js
    • Experience with Apollo Server/GraphQL
  • Cloud-Native Patterns- Deep understanding of how Kubernetes, Docker, serverless (AWS Lambda/Azure Functions), and service mesh architectures function with software development.
  • Compliance and Standards- Experience designing systems that align with industry compliance needs (e.g., SOC 2, ISO 27001).
  • Performance Optimization- Strong ability to design systems for scalability, resilience, and low-latency performance.
  • Vendor & Tool Evaluation- Skill in evaluating third-party tools and frameworks, ensuring cost-effectiveness and alignment with technical strategy.
  • Expertise in full-stack software development across web, Apple iOS, and Android platforms
  • Security by Design- Proven experience embedding application security practices (DevSecOps, OWASP, identity and access management) into architecture from the start.
  • Microservices & Event - Driven Architecture - Experience designing distributed systems using REST, GraphQL, gRPC, Kafka, or Kinesis.
  • Strong knowledge of API design, and complex system structuring
  • Experience with AWS (SNS, S3, Kinesis) and Azure (APIM, DevOps)
  • Familiarity with architectural documentation and methodologies, such as arc-42
  • Exceptional verbal and written communication skills
  • Demonstrated ability to lead, mentor, and guide technical teams in adopting new technologies, patterns, and practices
  • Strong organizational skills with the ability to manage priorities, meet deadlines, and work collaboratively across teams
  • Ability to communicate effectively to technical and non-technical people to outline a vision and steps to achieve results

Typical Duties and Responsibilities:
  1. Design and develop high-level architectural blueprints and technical specifications to ensure scalable, secure, and maintainable systems.
  2. Provide technical leadership in front-end, mobile, and cloud architectures, ensuring integration with legacy systems and alignment with business needs.
  3. Advise and mentor software engineering staff and team leads on new technologies, best practices, and emerging architectural patterns.
  4. Collaborate with database administrators (DBAs) on enterprise-level database design and optimization.
  5. Establish and maintain technical standards documentation, capturing approved technologies, emerging tools, and recommended practices.
  6. Lead the preparation of detailed system design documents following recognized frameworks.
  7. Oversee and manage outside technical services and contractors as needed.
  8. Provide accurate reporting tot he VP of Software on project status, risks, and technology roadmaps.
  9. Review, evaluate, and recommend new technologies or architectures with a focus on performance, scalability, and architectural cohesion.
  10. Ensure compliance with company policies, data classification standards, and security best practices.
  11. Continuously identify and implement process improvements to increase efficiency, reduce cycle times, and eliminate waste.
  12. Lead architecture review boards to align teams on technical direction.
  13. Champion cross-team collaboration between software engineers, infrastructure, security, and business stakeholders.
  14. Ensure knowledge-sharing and documentation culture within the development teams.
  15. Drive proof-of-concepts (POCs) to evaluate new technologies before adoption.
  16. Act as a though leader by staying current with emerging technologies and industry trends (AI/ML, edge computing, WebAssembly, etc.).
  17. Partner with product management to ensure technology roadmaps align with business strategy.
  18. Observes and adheres to DMP Data Classification standards.
  19. Observe company policies. Continuously strives to find processes that create improved efficiency while maintaining conformance to requirements.
  20. May perform related duties or fill in for others in the department or other departments when requested. May train or instruct fellow workers regarding own duties.

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