Senior AI & Data Integration Engineer

AT&T; Dallas (TX); On-site; USD 119,000 - 178,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement program

Paid Time Off and Holidays

Paid Parental Leave

Paid Caregiver Leave

Adoption Reimbursement

Disability Benefits

Life and Accidental Death Insurance

Employee Discounts

Job summary

AT&T is seeking an AI Software Engineer to design, build, and maintain data-driven solutions connecting systems, automating processes, and generating actionable insights. The role blends software, data engineering, analytics, and AI/ML to create scalable enterprise solutions.

The candidate will integrate AI services, develop data pipelines, and deliver dashboards while collaborating with business teams to identify AI-driven improvements.

Qualifications

• Proficient software development in one or more modern languages (Python/Java/C#/JS).
• Experience building and consuming APIs and data pipelines.
• Familiar with cloud platforms and data ecosystems; analytics and visualization know-how.

Responsibilities

• Design, develop, and maintain data-driven integrations between platforms.
• Build and consume REST and other API-based services; develop automation workflows.
• Engineer ETL/ELT pipelines; ensure data quality, governance, and security.
• Integrate AI/ML capabilities into business workflows and support deployment.
• Create dashboards and reports to translate data into actionable insights.

Skills

Python

Java

C#

JavaScript/TypeScript

APIs & Web services

SQL

Data pipelines

Cloud platforms

Data visualization

AI/ML concepts

Job description

AT&T is seeking an AI Software Engineer to design, build, and maintain data-driven solutions connecting systems, automating processes, and generating actionable insights. The role blends software, data engineering, analytics, and AI/ML to create scalable enterprise solutions.

The candidate will integrate AI services, develop data pipelines, and deliver dashboards while collaborating with business teams to identify AI-driven improvements.