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Cloud Automation Engineer Internship Jobs in Springfield, MO

Digital Links Inc

Senior Terraform Engineer

Springfield, MO · Remote

$111K - $151K/yr

... scalable cloud automation. The role also serves as a technical leader, mentoring engineers and ... participating in cloud architecture decisions. This is a 6-month contract-to-full-time employee ...

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All JobsCloud Automation Engineer JobsCloud Automation Engineer Internship JobsCloud Automation Engineer Internship Jobs in Springfield, MO

Cloud Automation Engineer Internship information

See Springfield, MO salary details

$33.7K

$97.4K

$148.3K

How much do cloud automation engineer internship jobs pay per year?

As of Aug 9, 2026, the average yearly pay for cloud automation engineer internship in Springfield, MO is $97,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,700.00 and $112,300.00 per year, depending on experience, location, and employer.

What is the difference between Cloud Automation Engineer Internship vs Cloud DevOps Engineer?

AspectCloud Automation Engineer InternshipCloud DevOps Engineer
Required CredentialsTypically pursuing or recent graduate in CS or related field; some certifications like AWS or Azure are a plusProfessional certifications (AWS, Azure, GCP), experience in scripting and cloud platforms
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time, operational environment, responsible for deployment and automation
Employer & Industry UsageTech companies, cloud service providers, startupsLarge enterprises, cloud service providers, IT departments

The Cloud Automation Engineer Internship is an entry-level position designed for students or recent graduates gaining foundational experience. In contrast, a Cloud DevOps Engineer is a full-time professional responsible for deploying, automating, and maintaining cloud infrastructure. While both roles involve cloud automation, the internship focuses on learning and support, whereas the DevOps engineer handles ongoing operational tasks.

What are popular job titles related to Cloud Automation Engineer Internship jobs in Springfield, MO? For Cloud Automation Engineer Internship jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Cloud Automation Engineer Internship jobs in Springfield, MO look for? The top searched job categories for Cloud Automation Engineer Internship jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Cloud Automation Engineer Internship jobs? Cities near Springfield, MO with the most Cloud Automation Engineer Internship job openings:
Cloud Automation Engineer Internship jobs near you
Infographic showing various Cloud Automation Engineer Internship job openings in Springfield, MO as of June 2026, with employment types broken down into 3% As Needed, 75% Full Time, 8% Part Time, 1% Temporary, and 13% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $97,445 per year, or $46.8 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Springfield, MO • Remote

Full-time

Re-posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply