Principal Data/AI Engineering

AT&T•Middletown Township, NJ

1d•$174,100 - $261,100•Onsite

About The Position

The Principal Data/AI Engineering role supports and optimizes 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 continual improvement of AI and data services. The position works with data scientists, AI engineers, software developers, and business stakeholders to operationalize AI capabilities, improve platform performance, and deliver business value through data-driven innovation. This is a full-time, onsite position performed at the designated work location five days per week. Locations listed are Middletown, New Jersey, and Plano, Texas. Relocation is not offered. Applicants who require employer sponsorship now or in the future will not be hired for this position.

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.
Applicants must not require employer sponsorship now or in the future.

Nice To Haves

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related technical field.
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 cross-functional teams to operationalize AI capabilities, enhance platform performance, and deliver business value through data-driven innovation.
Work with data scientists, AI engineers, software developers, and business stakeholders to operationalize AI solutions.

Benefits

Medical, dental, and vision coverage
401(k) plan
Tuition reimbursement program
Paid time off and holidays, including at least 23 vacation days per 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 but is unprotected
Adoption reimbursement
Short- and long-term disability benefits
Life and accidental death insurance
Supplemental benefit programs, including critical illness, accident, hospital indemnity, and group legal
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