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# AI & Cloud Integration Engineer

- **Company:** Ericsson
- **Location:** Plano, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Bash Shell, Cloud Computing, Databases, Continuous Integration, Linux, Domain Name System (DNS), Internet Protocol, JSON, Python (Programming Language), PostgreSQL, OpenShift, Performance Tuning, Ansible, SQL Databases, System Testing, Systems Integration, YAML, Data Processing, Computer Networking Systems, Cloud Platform System, Large Language Models, Model Validation, Agentic-AI, Git, Kubernetes, Information Technology, Cloud Integration, Software Version Control, Data Pipelines
- **Published:** November 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d0159644a1227ad0

## About the Role

Join Ericsson as an AI & Cloud Integration Engineer and take a meaningful step forward in your engineering career. In this role, you will solve real customer challenges spanning networks, cloud infrastructure, software, automation, data, and AI - using AI-assisted delivery methods to deploy, configure, integrate, test, and troubleshoot network systems. With at least three years of relevant experience, you will deepen your technical expertise, broaden your end-to-end delivery knowledge, and grow toward greater technical responsibility., * At least three years of relevant experience in system integration, telecom or IT service delivery, deployment, system testing, or a related engineering role. Transferable experience from other industries is welcome.

 * A bachelor's degree in engineering, computer science, telecommunications, or a related field-or equivalent practical experience.
 * Understanding of IP networking and DNS; experience with Linux, a cloud platform such as AWS or Azure, and containers such as Kubernetes or OpenShift.
 * Professional experience writing or maintaining Python and/or Shell/Bash scripts; working knowledge of APIs, databases, SQL, Git, and JSON or YAML.
 * Experience building LLM-enabled applications, tool-calling workflows, or AI agents. Practical use of an LLM or AI coding assistant, including checking outputs and understanding limitations.
 * Ability to identify a focused automation or AI opportunity, explain benefits and risks, and validate results. Production AI ownership is not required.
 * Experience testing and integrating systems, diagnosing issues, and collaborating with technical stakeholders. Good written and verbal communication and sound judgment with sensitive data.
 * Ansible, CI/CD, PostgreSQL, telecom/OSS/BSS/5G, data pipelines, observability, automated testing, or model evaluation experience is an asset, not a requirement.

## Description

* Support deployment, upgrades, troubleshooting, and performance tuning across systems and network environments.
 * Configure products and integrate systems for customer delivery; prepare and run system, module, and acceptance tests, analyze results, resolve issues, and document outcomes.
 * Use scripts and APIs to automate repeatable integration, testing, data-processing, and operational tasks. Maintain code with version control.
 * Work with customer and internal teams to identify useful opportunities for automation and AI. Contribute to workflows such as log summaries, incident triage, or test ideas using approved tools and data.
 * Check AI-generated recommendations against source data and engineering evidence. Communicate uncertainty and keep operational decisions accountable to people.
 * Prepare and interpret data; monitor automation quality and impact, address defects and risks, and share reusable scripts, tests, and lessons learned.
 * Follow security, privacy, safety, and responsible AI requirements., DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.