Principal Data/AI Engineering
About The Position
AT&T is seeking a Principal Data/AI Engineering professional to support and optimize enterprise AI and data platforms for reliable, scalable, and secure AI-driven business operations. The role designs, implements, and maintains data pipelines, platform automation, AI workflows, and operational processes supporting machine learning and generative AI solutions. It monitors platform health, ensures data quality, manages production support, and drives continuous improvement of AI and data services. The position collaborates with data scientists, AI engineers, software developers, and business stakeholders to operationalize AI capabilities, enhance platform performance, and deliver business value through data-driven innovation. This is a full-time onsite role performed at the designated work location five days per week. Locations listed are Middletown, New Jersey, and Plano, Texas. Relocation is not offered. AT&T will not hire applicants who require employer sponsorship now or in the future.
Requirements
- At least 7 years of experience in data engineering, AI/ML operations, platform engineering, analytics engineering, or related technology disciplines.
- Experience supporting enterprise-scale AI, machine learning, and data platforms in a production environment.
- Strong knowledge of AI platforms, AI tooling, and MLOps frameworks.
- Experience designing, building, and maintaining scalable data pipelines, data integration solutions, and AI workflows.
- Proficiency with cloud-based data and AI ecosystems such as Azure, AWS, or Google Cloud.
- Experience supporting model deployment, monitoring, and performance optimization.
- Proficiency in Python, SQL, and modern data engineering technologies.
- Experience working with structured, unstructured, and streaming data environments.
- Ability to collaborate with data scientists, AI engineers, software developers, and business stakeholders to operationalize AI solutions.
- Strong problem-solving, troubleshooting, and production support experience, with a focus on operational excellence and continuous improvement.
- Must not require employer sponsorship now or in the future.
Nice To Haves
- Bachelor's degree (BS/BA) in Computer Science, Data Science, Information Systems, or a related technical field is preferred.
- Relevant cloud, AI, data engineering, or platform certifications may be required based on business needs.
Responsibilities
- Support and optimize enterprise AI and data platforms for reliable, scalable, and secure AI-driven business operations.
- Design, implement, and maintain data pipelines, platform automation, AI workflows, and operational processes for machine learning and generative AI solutions.
- Monitor platform health and ensure data quality.
- Manage production support activities and drive continuous improvement of AI and data services.
- Collaborate with data scientists, AI engineers, software developers, and business stakeholders to operationalize AI solutions.
- Enhance platform performance and deliver business value through data-driven innovation.
Benefits
- Medical, dental, and vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid time off and holidays, including at least 23 vacation days each year and 9 company-designated holidays, based on date of hire
- Paid parental leave
- Paid caregiver leave
- Additional sick leave beyond what state and local law require may be available; it is unprotected
- Adoption reimbursement
- Short- and long-term disability benefits
- Life and accidental death insurance
- Supplemental critical illness, accident, hospital indemnity, and group legal benefit programs
- Employee Assistance Programs (EAP)
- Employee wellness programs
- Employee discounts of up to 50% on eligible AT&T mobility plans and accessories, AT&T internet (including fiber where available), and AT&T phone
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What This Job Offers
Job Type
Full-time
Career Level
Principal
