Senior AI-Driven Network Automation Engineer

AT&T

Middletown (NJ)

On-site

USD 128,000 - 192,000

Full time

3 days ago
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Benefits offered by this job

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays
Paid Parental Leave
Caregiver Leave
Disability Benefits
Life Insurance
Employee Discounts

Job summary

AT&T is seeking a Sr Specialist Member of Technical Staff to drive intelligent automation for one of the world's largest telecommunications networks. You will design AI-driven automation solutions and validate orchestration across enterprise platforms, collaborating with network engineering, architecture, and operations teams.

The role emphasizes building and validating lab environments, onboarding networks to automation platforms, and advancing AI capabilities to improve reliability and

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Telecommunications Engineering, Data Science, or a related technical discipline.
  • Strong programming skills in Python or similar languages used for automation, testing, and analytics.
  • Experience with APIs, microservices, distributed systems, and enterprise platform integrations.

Responsibilities

  • Design, develop, test, and support AI-driven automation solutions that improve network operations, service delivery, and operational efficiency.
  • Develop and enhance automation workflows leveraging APIs, orchestration platforms, enterprise systems, and AI technologies.
  • Validate inventory synchronization, service orchestration, workflow execution, telemetry collection, and platform integrations.

Skills

AI/ML
Automation
Python
Observability

Education

Bachelor's degree in CS/EE/Telecom

Tools

APIs
CI/CD
Containers
Git
Kubernetes

Job description

AT&T is seeking a Sr Specialist Member of Technical Staff to drive intelligent automation for one of the world's largest telecommunications networks. You will design AI-driven automation solutions and validate orchestration across enterprise platforms, collaborating with network engineering, architecture, and operations teams.

The role emphasizes building and validating lab environments, onboarding networks to automation platforms, and advancing AI capabilities to improve reliability and

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