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Intern Knowledge Graph Jobs (NOW HIRING)

$50.24 - $55.82/hr

We are seeking a software-centric AI Agentic Systems Engineer Intern to help design, build, and ... Kubernetes, graph/document databases, or enterprise search. * Exposure to knowledge graphs ...

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Intern Knowledge Graph information

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How much do intern knowledge graph jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for intern knowledge graph in the United States is $17.87, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $21.15 per hour, depending on experience, location, and employer.

What is an intern knowledge graph?

Intern Knowledge Graphs refer to structured data models that represent the relationships and attributes of information relevant to internship programs, roles, and experiences. These graphs help organizations and educational institutions organize and analyze data about interns, such as their skills, projects, mentors, and learning outcomes. By leveraging knowledge graphs, companies can improve internship matching, track progress, and gain insights into intern performance and program effectiveness. This technology is especially useful in large organizations managing multiple internship opportunities or research projects.

What skills and qualifications are needed to thrive as an intern in knowledge graphs?

To thrive as a Knowledge Graph Intern, you need a strong foundation in computer science fundamentals, data structures, and familiarity with semantic web concepts, often supported by coursework or a related degree in computer science or information science. Experience with technical tools such as SPARQL, RDF, graph databases (like Neo4j), and possibly Python or Java is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with teams and translate complex ideas clearly. These competencies enable interns to contribute meaningfully to knowledge graph projects, ensuring data is structured, connected, and accessible for organizational use.

What types of projects can an intern knowledge graph expect to work on, and how do these projects contribute to larger organizational goals?

As an Intern Knowledge Graph, you can expect to work on projects involving the design, development, and maintenance of knowledge graphs, which help structure and connect data across the organization. Tasks may include data integration, ontology development, and writing queries to extract meaningful insights from large datasets. These projects often support initiatives in artificial intelligence, data analytics, and search optimization, making your contributions valuable to multiple teams. You'll likely collaborate with data scientists, software engineers, and business analysts, gaining exposure to both technical and strategic aspects of knowledge management.

What is the difference between Intern Knowledge Graph vs Intern Data Analyst?

AspectIntern Knowledge GraphIntern Data Analyst
Required CredentialsBasic understanding of data structures, some knowledge of graph databasesBasic statistics, Excel, SQL knowledge
Work EnvironmentTech-focused, research-driven, often in AI or data science teamsBusiness or research settings, analyzing datasets and generating reports
Employer & Industry UsageTech companies, AI firms, research institutionsFinance, marketing, healthcare, and other industries

Intern Knowledge Graph roles typically focus on understanding and working with graph databases and data structures, often within tech or research environments. Intern Data Analyst positions involve analyzing datasets, creating reports, and supporting decision-making across various industries. While both roles require foundational data skills, the Intern Knowledge Graph role emphasizes graph database knowledge, whereas the Intern Data Analyst role centers on data analysis and reporting.

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Cities with the most Intern Knowledge Graph job openings:

What are the most commonly searched types of Knowledge Graph jobs?

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What states have the most Intern Knowledge Graph jobs?

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What other helpful pages are available for Intern Knowledge Graph?

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Infographic showing various Intern Knowledge Graph job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $37,171 per year, or $17.9 per hour.

Intern - AI Agentic Systems Engineer

California, MO • On-site

Micron Technology, Inc
Semiconductor and Electronic Component Manufacturing • 10K+ employees

$50.24 - $55.82/hr

Other

Medical, Dental, Vision, PTO

Posted 6 days ago


Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz


Job description

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Our Cloud Memory Business Unit is pioneering next-generation memory for datacenter and AI workloads. In this internship you will help build an AI-powered research and simulation platform — a multi-agent system that turns large volumes of external and internal technical signals into evidence-backed, simulation-validated architectural insights that guide our long-term technology and product strategy.

We are seeking a software-centric AI Agentic Systems Engineer Intern to help design, build, and productize an internal agentic AI platform. You will develop and harden multi-agent workflows, contribute to an automated hypothesis-generation and test-planning capability, and help deploy the platform on managed cloud infrastructure. This is a hands-on development role for someone comfortable with modern AI tooling, agentic frameworks, large language model (LLM) APIs, and cloud services. Applying Artificial Intelligence is expected and central to this position.

Key Responsibilities
  • Agent development: Design, build, and evaluate AI agents that automate multi-stage research and analysis workflows.
  • LLM workflows: Implement agentic patterns — prompt design, tool/function calling, and orchestration — with an emphasis on reliability, traceability, and output quality.
  • Cloud deployment: Help deploy AI workloads onto managed cloud infrastructure, partnering with IT on identity, security, and cost governance.
  • Data & knowledge integration: Integrate structured and unstructured data sources to support retrieval, reasoning, and persistent memory across analyses.
  • Tooling: Develop reusable software tools and services that extend the platform's capabilities.
  • AI integration: Incorporate AI methods across the development flow and document designs and evaluation criteria for reproducibility.
Minimum Qualifications
  • Currently pursuing an M.S. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • Strong software engineering skills in Python; comfortable building and debugging non-trivial systems.
  • Working knowledge of LLMs and agentic AI — prompt design, tool/function calling, and multi-agent or workflow frameworks (e.g., LangGraph, AutoGen, or similar).
  • Familiarity with cloud services and containers (Azure preferred; AWS/GCP acceptable), REST APIs, and version control (Git).
  • Good verbal and written communication and problem-solving abilities.
Preferred Qualifications
  • Experience with cloud AI platforms, managed Kubernetes, graph/document databases, or enterprise search.
  • Exposure to knowledge graphs, retrieval-augmented generation (RAG), or vector databases.
  • Experience productizing research code into governed, auditable services (RBAC, CI/CD, observability).
  • Interest in memory/AI systems and the datacenter/AI infrastructure landscape.
What You'll Gain

Ship production-grade agentic AI workflows in a secure, governed cloud environment, and gain end-to-end experience in AI platform engineering while working alongside senior memory and systems architects.

The US base salary range that Micron Technology estimates it could pay for this full-time position is:

$50.24 - $55.82 an hour

Additional compensation may include benefits, bonuses and equity. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

To learn about your right to work click here.

To learn more about Micron, please visit micron.com/careers

US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

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