Cloud AI Engineer Intern

Grow with us 
 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.   Cloud AI Engineer Intern  Location: Plano, TX   About this opportunity: We are seeking a motivated Cloud Developer Intern to join our Ericsson BOS ADM teams. In this role, you will develop automation scripts, utilize Ericsson’s internal GenAI tools, and support non-functional testing for cloud-based rApp projects. This internship is ideal for someone passionate about cloud technologies, AI, and automation, eager to tackle complex challenges in a dynamic, collaborative environment.

Cloud Development and Automation : •    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:  o    Triggering catalog comparisons across cloud environments, integrating with Git for version control. o    Verifying environmental variable consistency across multiple cloud environments to resolve discrepancies. o    Generating installation JSON configurations from PowerPoint-based topology diagrams using GenAI for intelligent parsing. o    Developing tools to create topology PowerPoint presentations from existing JSON files. o    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.   Non-Functional AI Agent Based Testing : •    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. Long Description 
 The skills you bring: •    Education: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Cloud Computing, or a related field. •    Technical Skills:  o    Proficiency in Python scripting, including libraries for data manipulation, API interaction, and automation (e.g., Pandas, Scikit-learn, basic PyTorch/TensorFlow). o    Familiarity with JSON/YAML for cloud configuration and data exchange. o    Solid understanding of AI/ML concepts (e.g., regression, classification, clustering) and the ML lifecycle. o    Knowledge of Large Language Models (LLMs) and agentic AI frameworks (e.g., LangChain, Auto-GPT, Ollama + LLaMA2) is a plus. o    Familiarity with automation tools like Ansible, Robot Framework, or RPA tools (e.g., UiPath, Automation Anywhere) is an advantage. o    Basic understanding of non-functional/performance testing and tools (e.g., JMeter, LoadRunner) is a plus. o    Familiarity with Git and DevOps/CI/CD pipelines is a plus. o    Experience or awareness of AWS/Azure cloud platforms is preferred. o    Awareness