AI & Cloud Integration Engineer

Ericsson • Plano, TX

18h

About The Position

Join Ericsson as an AI & Cloud Integration Engineer to address customer challenges across networks, cloud infrastructure, software, automation, data, and AI. The role uses AI-assisted delivery methods to deploy, configure, integrate, test, and troubleshoot network systems. It offers the opportunity to deepen technical expertise, develop end-to-end delivery knowledge, and grow toward greater technical responsibility. At least three years of relevant experience is required.

The position supports deployment, upgrades, troubleshooting, and performance tuning across systems and network environments. It includes configuring products and integrating systems for customer delivery; preparing and running system, module, and acceptance tests; analyzing results, resolving issues, and documenting outcomes; and automating repeatable integration, testing, data-processing, and operational tasks with scripts and APIs. The engineer collaborates with customer and internal teams to identify automation and AI opportunities, validates AI-generated recommendations against source data and engineering evidence, monitors automation quality and impact, addresses defects and risks, and shares reusable scripts, tests, and lessons learned. Security, privacy, safety, and responsible AI requirements must be followed.

The role is based in Plano, United States. Ericsson describes the salary range as dependent on factors including location and the candidate’s job-related knowledge, qualifications, skills, education, training, and experience, but does not provide specific salary figures.

Requirements

• 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.

Nice To Haves

• Ansible experience.
• CI/CD experience.
• PostgreSQL experience.
• Telecom, OSS/BSS, or 5G experience.
• Data pipelines experience.
• Observability experience.
• Automated testing experience.
• Model evaluation experience.

Responsibilities

• 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, and maintain code with version control.
• Work with customer and internal teams to identify useful automation and AI opportunities, contributing to workflows such as log summaries, incident triage, and 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.

Benefits

• Competitive compensation package; salary range depends on location and candidate qualifications and experience.
• Opportunity for annual bonus through the Short-Term Variable Compensation Plan, subject to eligibility and applicable rules.
• Choice of three medical plan options and a dental plan option, with company credits toward premiums for employees and eligible covered dependents.
• Ericsson US 401(k) Plan with an automatic 3% company contribution and matching contributions of up to 4% when the employee contributes at least 5% of eligible pay, subject to plan limits.
• Company credits toward basic life insurance, basic accidental death and dismemberment coverage, and short-term and long-term disability coverage.
• Option to participate in Ericsson’s Stock Purchase Plan.
• At least 15 days of accrued vacation for new employees, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually; paid time off is prorated based on start date.
• Up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.
• Financial wellness programs, educational assistance, matching gifts, and recognition programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level