Cloud AI Engineer Intern

Public source summary from intern-list.com / Jobright.

Ericsson is a telecommunications and technology company seeking a Cloud AI Engineer Intern to support its BOS ADM teams. The role focuses on developing Python-based cloud automation, using internal GenAI tools to create agent-based solutions, and supporting non-functional testing and performance analysis for cloud-based rApp projects.

Responsibilities

Develop and implement automation scripts using Python to interact with cloud-based systems and tools in the Ericsson environment Leverage Ericsson’s internal GenAI tools (e.g., GenAI, Glean) to design and implement agent-based automation solutions Create and optimize cloud automation workflows for tasks such as: Triggering catalog comparisons across cloud environments, integrating with Git for version control Verifying environmental variable consistency across multiple cloud environments to resolve discrepancies Generating installation JSON configurations from PowerPoint-based topology diagrams using GenAI for intelligent parsing Developing tools to create topology PowerPoint presentations from existing JSON files Enhancing JSON generation tools for cloud configuration and deployment needs Document automation processes, scripts, and best practices for maintainability and knowledge transfer Participate in team meetings, contributing ideas to improve cloud automation strategies Analyze cloud application architecture and workflows to derive non-functional requirements Identify, document, and categorize non-functional test scenarios (e.g., performance, load, stress, scalability) Map non-functional requirements to measurable metrics (e.g., response time, throughput, error rate, CPU/memory utilization) Support scripting and automation of test scenarios using Robot Framework with Python for use in ESSVT Collaborate with senior testers to define test data needs, load patterns, and cloud environment configurations Assist in scripting and executing performance tests using tools like JMeter or LoadRunner Review test results and analyze system behavior under various load conditions in cloud environments Contribute to documentation of test cases, performance reports, and lessons learned

Qualifications: Ericsson Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1's, H-1B1's, E-3's, O-1's, and TN's Ericsson also does not hire F-1's working on CPT or EAD for this position Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Cloud Computing, or a related field Proficiency in Python scripting, including libraries for data manipulation, API interaction, and automation (e.g., Pandas, Scikit-learn, basic PyTorch/TensorFlow) Familiarity with JSON/YAML for cloud configuration and data exchange Solid understanding of AI/ML concepts (e.g., regression, classification, clustering) and the ML lifecycle Strong problem-solving skills and a proactive, curious mindset Ability to explain technical concepts to technical and non-technical stakeholders Collaborative team player with a willingness to learn and adapt Strong documentation skills for clear, maintainable records Knowledge of Large Language Models (LLMs) and agentic AI frameworks (e.g., LangChain, Auto-GPT, Ollama + LLaMA2) is a plus Familiarity with automation tools like Ansible, Robot Framework, or RPA tools (e.g., UiPath, Automation Anywhere) is an advantage Basic understanding of non-functional/performance testing and tools (e.g., JMeter, LoadRunner) is a plus Familiarity with Git and DevOps/CI/CD pipelines is a plus Experience or awareness of AWS/Azure cloud platforms is preferred Awareness of SD-WAN technologies is a plus Exposure to REST APIs and scripting in Bash or PowerShell Interest in or basic knowledge of cloud-native development and SD-WAN technologies Enthusiasm for exploring AI-driven automation and performance testing in cloud environments