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Intern Cloud Database Engineer Jobs in Madison, WI

Urus Group LP

AI Engineer

Watertown, WI · On-site +1

VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications ... Experience with RAG pipelines, vector databases, and agentic frameworks. * Familiarity with cloud ...

Progress

DevOps Engineer II

Madison, WI · On-site +1

... database setup, monitoring, rollback, and application lifecycle support. You will also diagnose ... The ideal candidate has a strong background in Windows environments, cloud platforms, and DevOps ...

Progress

DevOps Engineer II

Madison, WI · On-site +1

$83K - $97K/yr

... database setup, monitoring, rollback, and application lifecycle support. You will also diagnose ... The ideal candidate has a strong background in Windows environments, cloud platforms, and DevOps ...

Progress

DevOps Engineer II

Madison, WI · On-site +1

$83K - $97K/yr

... database setup, monitoring, rollback, and application lifecycle support. You will also diagnose ... The ideal candidate has a strong background in Windows environments, cloud platforms, and DevOps ...

Progress

DevOps Engineer II

Madison, WI · On-site +1

$83K - $97K/yr

... database setup, monitoring, rollback, and application lifecycle support. You will also diagnose ... The ideal candidate has a strong background in Windows environments, cloud platforms, and DevOps ...

Trans Ova Genetics

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

... databases, and on-prem or cloud data stores. * Participate in the design and implementation of data ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

AgSource

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

... databases, and on-prem or cloud data stores. * Participate in the design and implementation of data ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Urus Group LP

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

... databases, and on-prem or cloud data stores. * Participate in the design and implementation of data ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Farm Systems

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

... databases, and on-prem or cloud data stores. * Participate in the design and implementation of data ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Urus

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

... databases, and on-prem or cloud data stores. * Participate in the design and implementation of data ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Springs Window Fashions

AI Engineer II

Middleton, WI · On-site

$100K - $137K/yr

Comfortable building on cloud platforms such as Microsoft Azure, AWS, or Google Cloud * Experience ... Experience with MLOps, vector databases, orchestration frameworks, and AI observability platforms.

Springs Window Fashions

AI Engineer II

Middleton, WI · On-site

$100K - $137K/yr

Comfortable building on cloud platforms such as Microsoft Azure, AWS, or Google Cloud * Experience ... Experience with MLOps, vector databases, orchestration frameworks, and AI observability platforms.

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Showing results 21-40

All JobsIntern Cloud Database Engineer JobsIntern Cloud Database Engineer Jobs in Madison, WI

Intern Cloud Database Engineer information

See Madison, WI salary details

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$17

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How much do intern cloud database engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for intern cloud database engineer in Madison, WI is $17.17, according to ZipRecruiter salary data. Most workers in this role earn between $14.52 and $19.38 per hour, depending on experience, location, and employer.

What is the difference between Intern Cloud Database Engineer vs Cloud Database Administrator?

AspectIntern Cloud Database EngineerCloud Database Administrator
CredentialsEnrolled in or recent graduate of relevant degree programs, basic certificationsProfessional certifications like AWS Certified Database - Specialty, experience preferred
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time or part-time role, operational responsibilities in cloud environments
Employer & IndustryTech companies, startups, cloud service providersOrganizations using cloud databases, IT departments, cloud service providers
Search & Comparison IntentUnderstanding entry-level roles, learning opportunitiesOperational responsibilities, career advancement in cloud database management

The main difference between an Intern Cloud Database Engineer and a Cloud Database Administrator lies in experience, responsibilities, and career stage. Interns are typically students or recent graduates gaining foundational knowledge, while Cloud Database Administrators are more experienced professionals managing cloud database operations. Both roles are essential in cloud data management but serve different purposes within organizations.

What are popular job titles related to Intern Cloud Database Engineer jobs in Madison, WI? For Intern Cloud Database Engineer jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Intern Cloud Database Engineer jobs in Madison, WI look for? The top searched job categories for Intern Cloud Database Engineer jobs in Madison, WI are:
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Intern Cloud Database Engineer jobs near you

AI Engineer

Urus Group LP

Watertown, WI • On-site, Remote

Full-time

Posted 11 days ago

Job description


VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications that use AI/ML models. This is a strategic, hands-on position for an experienced technical leader who has a track record of shipping AI-enhanced customer applications and tooling used by engineering teams.
This role will be focused on embedding LLMs, agent-based systems, and automation into core development workflows-boosting productivity, reducing manual toil, and accelerating delivery, essentially transforming how our engineers build, test, and ship software.
Responsibilities
  • Understand customer challenges and how integrating AI capabilities can help lead to solutions that have AI as a differentiator.
  • Identify opportunities to apply AI for efficiency, growth, and customer value.
  • Drive awareness of AI capabilities and demonstrate how it can address customer needs, improve efficiency, reduce costs, and drive growth.
  • Drive transformation from AI-Ad Hoc to AI-Native engineering practices.
  • Serve as the AI technical SME, conduct R&D (research and development) to meet the needs of our AI strategy.
  • Continuously assess emerging AI tools and make data-driven recommendations.
  • Measure & Accelerate Adoption: Establish KPIs, track progress from the current to 100% adoption, implement interventions to accelerate uptake and communicate impact.
  • Build Center of Excellence: Create forums for knowledge sharing, celebrate wins, and foster peer-to-peer learning.
  • Establish AI governance frameworks and guardrails covering compliance, security, privacy, and ethical AI practices, and embed them into development workflows.
  • LLM Agents & Prompt Engineering
    • Architect and implement LLM agents.
    • Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor).
    • Integrate vector databases and knowledge graphs to support retrieval-augmented generation (RAG).
    • Design and maintain high-quality prompt strategies for robustness and reliability.
  • Model Context Protocol (MCP) & Backend
    • Develop and maintain scalable APIs, supporting synchronous and asynchronous agent execution.
    • Integrate Model Context Protocol (MCP) to enable secure and structured access to external data and tools within agent workflows.
    • Implement state tracking, context-aware input dispatch, and modular plugin integration within the control plane.
  • Evaluation, Testing & Observability
    • Build unit and behavioral tests for agents, tools, and workflows.
    • Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
    • Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.
  • Model Fine-Tuning & MLOps
    • Integrate, deploy, fine tune and monitor models in production using cloud providers.
    • Set up agent logging, observability dashboards, and recovery workflows.
  • Front-end & User Experience
    • Collaborate with front-end developers or build user-facing components using React, TypeScript.
    • Ensure seamless user and agent interaction via UI and API bridges.

Education & Experience Requirements
  • Bachelor of Science in Software Engineering, Computer Science, Data Science, AI/ML or related field preferred.
  • 10+ years of experience in software development and design.
  • Proven experience in AI/ML solution design and hands experience with AI-powered development tools. 3+ years of experience preferred.
  • Strong knowledge of Large Language Models, Generative AI, NLP, and Machine Learning concepts. (3+ years of experience preferred).
  • Hands-on experience with deep learning frameworks.
  • Experience with RAG pipelines, vector databases, and agentic frameworks.
  • Familiarity with cloud-based AI services.

About Us
For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.
Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.
Whether near or far, large or small, VAS is at the heart of your dairy.
VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS. Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.

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