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Computer Systems Analyst Internship Jobs (NOW HIRING)

SEACORP is seeking a well-qualified Computer Systems Analyst III . Primary Duties and Responsibilities: Job Summary : SEACORP is seeking a Computer Systems Analyst III for our Hardware Solutions ...

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Computer Systems Analyst Internship information

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$36

$55

How much do computer systems analyst internship jobs pay per hour?

As of May 30, 2026, the average hourly pay for computer systems analyst internship in the United States is $36.85, according to ZipRecruiter salary data. Most workers in this role earn between $27.64 and $46.15 per hour, depending on experience, location, and employer.

What is a Computer Systems Analyst Internship job?

A Computer Systems Analyst Internship is a temporary role designed to provide hands-on experience in analyzing, improving, and implementing computer systems for an organization. Interns typically assist with researching system requirements, troubleshooting technical issues, and recommending solutions to improve efficiency. They may also collaborate with IT teams, document processes, and test system functionalities. This internship helps develop technical and analytical skills while offering exposure to real-world business and IT challenges.

What are the key skills and qualifications needed to thrive in the Computer Systems Analyst Internship position, and why are they important?

To excel as a Computer Systems Analyst Intern, you should have a solid academic background in computer science or a related field, analytical thinking, and problem-solving abilities. Familiarity with database management systems, programming languages (such as SQL, Python, or Java), and tools like Microsoft Visio or project management software is advantageous. Strong communication skills, teamwork, and adaptability will help you thrive in collaborative and fast-changing environments. These competencies ensure you can effectively analyze systems, communicate findings, and support technical teams in improving business operations.

What kinds of projects or tasks do Computer Systems Analyst Interns typically work on during their internship?

As a Computer Systems Analyst Intern, you can expect to assist with evaluating existing computer systems, gathering user requirements, and contributing to the planning and implementation of software solutions. Interns often work alongside experienced analysts to document workflows, troubleshoot technical issues, and test new applications or upgrades. You may also collaborate with IT, business, and development teams to recommend process improvements and prepare presentations or reports. This hands-on experience allows you to build valuable technical and analytical skills while learning how organizations leverage technology to optimize their operations.
What cities are hiring for Computer Systems Analyst Internship jobs? Cities with the most Computer Systems Analyst Internship job openings:
What are the most commonly searched types of Computer Systems Analyst jobs? The most popular types of Computer Systems Analyst jobs are:
What states have the most Computer Systems Analyst Internship jobs? States with the most job openings for Computer Systems Analyst Internship jobs include:
Infographic showing various Computer Systems Analyst Internship job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $76,643 per year, or $36.8 per hour.

$180K - $230K/yr

Full-time

Posted 27 days ago


Job description

Job Duty Descriptions
• Analyze business needs and stakeholder objectives for GenAI/LLM use cases; translate them into system requirements, constraints, and acceptance criteria.
• Define end-to-end solution and integration architecture for enterprise knowledge enablement (e.g., RAG, tool/function calling, agentic workflows), including data flows and control points.
• Evaluate security, privacy, and Responsible AI requirements; define governance controls for data access/segregation, content safety, and model usage.
• Assess solution options, performance outcomes, risks, and cost drivers; document recommendations, trade-offs, and decision records for leadership approval.
• Elicit and document functional and non-functional requirements for AI/ML-enabled systems; validate assumptions with business, data, and engineering stakeholders.
• Design target-state architecture and logical solution models aligned with business strategy, enterprise standards, and regulatory requirements.
• Define system integration approach across data, application, identity/access, and infrastructure layers; specify interfaces, dependencies, and operational considerations.
• Establish and maintain technical standards and best practices (security, privacy, scalability, performance, observability) and govern adherence through reviews.
Day-to-day Tasks
• Facilitate requirements and discovery workshops; map current-state vs future-state processes and identify gaps.
• Produce solution designs (context diagrams, logical component models, interface specifications) and define non-functional requirements (availability, latency, scalability, auditability).
• Define and review control frameworks (guardrails, access patterns, prompt/model governance) and coordinate security/privacy reviews.
• Establish success metrics and evaluation approach; review test results, monitoring reports, and user feedback to validate outcomes against requirements.
• Conduct stakeholder interviews and architecture workshops; capture requirements, constraints, and risks in traceable documentation.
• Perform design, security, and performance assessments; document findings and recommendations and track remediation actions.
• Maintain an architecture repository of approved patterns, templates, and standards; support governance boards with decision materials.
Technology and/or Software used for Duty
• Azure OpenAI / Vertex AI / Bedrock (evaluation of model capabilities and fit)
• LangChain / LlamaIndex (review of orchestration patterns)
• Vector databases (review of retrieval options and performance)
• Content safety/guardrails tools (policy controls and safety evaluation)
• Azure/AWS/GCP (architecture evaluation)
• Kubernetes (platform capability assessment)
Education
Bachelor's degree
Salary Range: $180000 - $230000 a year
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