Senior AI & Network Automation Engineer

The Best Job Board; Dallas (TX); On-site; USD 128,000 - 192,000; Full time

Benefits offered by this job

Medical/Dental/Vision

401(k) plan

Tuition reimbursement

Paid Time Off

Paid Parental Leave

Disability Benefits

Employee discounts

Job summary

AT&T is seeking a Sr Specialist Member of Technical Staff to advance AI-driven automation for one of the world’s largest telecommunications networks. You will design and validate enterprise platforms, integrate services, and automate operational workflows across provisioning, observability, and lifecycle management.

Collaborating with software, network engineering, and ops teams, you will build lab environments, test upgrades, and contribute to AI-enabled decision making.

Qualifications

• Bachelor's degree in CS or related technical field.
• Experience with Python and automation for network operations.
• Knowledge of APIs, microservices, and orchestration.
• Familiarity with Linux environments, Git, and CI/CD.

Responsibilities

• Design, develop, test, and support AI-driven automation for network ops.
• Validate inventory, provisioning, and orchestration workflows.
• Build lab environments for production-like testing and upgrades.
• Analyze logs and telemetry to improve platform performance.

Skills

Python

AI-driven automation

Automation workflows

APIs & microservices

Linux/Unix

Git & CI/CD

Troubleshooting

Documentation

Analytical thinking

Education

Bachelor's degree in Computer Science or related

Tools

APIs

Microservices

Distributed systems

Containers

CI/CD pipelines

Automation frameworks

OSS ecosystems

Job description

AT&T is seeking a Sr Specialist Member of Technical Staff to advance AI-driven automation for one of the world’s largest telecommunications networks. You will design and validate enterprise platforms, integrate services, and automate operational workflows across provisioning, observability, and lifecycle management.

Collaborating with software, network engineering, and ops teams, you will build lab environments, test upgrades, and contribute to AI-enabled decision making.