## Join our Team
About this opportunity
Take the next step in your engineering career with Ericsson as an AI & Cloud Integration Engineer. In this role, you’ll solve real customer challenges across networks, cloud, software, automation, data, and AI, using AI-assisted delivery to deploy, configure, integrate, test, and troubleshoot network systems. With at least three years of relevant experience, you’ll broaden your end-to-end delivery skills and grow toward greater technical responsibility.
What you will do
- Plan and support deployment, upgrades, troubleshooting, and performance tuning across systems and network environments.
- Execute product configuration and end-to-end integration activities for customer delivery programs.
- Prepare and run system, module, and acceptance tests; analyze results, resolve issues, and document outcomes.
- Use scripting and APIs to automate integration, test, data-processing, and operational tasks, maintaining code with sound version-control practices.
- Collaborate with customer and internal teams to identify practical opportunities for automation and AI assistance.
- Prototype or contribute to AI-enabled workflows (for example, log summarization, incident triage, test idea generation) using approved tools and data.
- Check AI-generated recommendations against source data and engineering evidence, communicating uncertainty and keeping humans accountable for decisions.
- Monitor the quality and impact of automations and AI-assisted workflows, capturing defects, escalating risks, and improving solutions.
- Share reusable scripts, test assets, lessons learned, and delivery improvements with the broader team while following Ericsson, customer, and legal requirements for security, privacy, safety, and responsible AI use.
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The skills you bring
- At least three years of experience in system integration, telecom or IT service delivery, deployment, system testing, or a related engineering role.
- Bachelor’s degree in engineering, computer science, telecommunications, or equivalent practical experience.
- Good understanding of IP networking and related infrastructure concepts such as DNS.
- Experience with cloud platforms (e.g., AWS, Azure) and container platforms (e.g., Kubernetes, OpenShift).
- Hands-on experience with Linux-based systems and scripting in Python and/or Shell/Bash in a professional environment.
- Experience building LLM-enabled applications, tool-calling workflows, or AI agents, and using AI coding assistants to support technical tasks.
- Working knowledge of APIs, databases and SQL (PostgreSQL is a plus) to retrieve information, investigate issues, and support technical workflows.
- Practical experience with Git, JSON or YAML; familiarity with Ansible or CI/CD pipelines is helpful and you are ready to build on your automation skills.
- Experience testing and integrating systems end to end, diagnosing issues, and collaborating with technical stakeholders in delivery environments.
- Sound judgment when handling customer, network, or operational data, protecting sensitive information and raising privacy, security, or reliability concerns.
