Principal Data/AI Engineering
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Role details
Tech stack
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Job description
- Responsible for supporting and optimizing enterprise AI and data platforms to enable reliable, scalable, and secure AI-driven business operations.
- Designs, implements, and maintains data pipelines, platform automation, AI workflows, and operational processes that support machine learning and generative AI solutions.
- Monitors platform health, ensures data quality, manages production support activities, and drives continuous improvement of AI and data services.
- Collaborates with cross-functional teams to operationalize AI capabilities, enhance platform performance, and deliver business value through data-driven innovation.
- Collaborate with data scientists, AI engineers, software developers, and business stakeholders to operationalize AI solutions.
Requirements
- Bachelor’s degree (BS/BA) in Computer Science, Data Science, Information Systems or a related technical field preferred.
- 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.
- Relevant cloud, AI, data engineering, or platform certifications may be required based on business needs.
- 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 (e.g., Azure, AWS, Google Cloud).
- Experience supporting model deployment, monitoring, performance optimization, and
- 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.
Benefits & conditions
Our Principal Data/AI Engineering jobs earn between $174,100.00 - $261,100.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:
- Medical/Dental/Vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
- Paid Parental Leave
- Paid Caregiver Leave
- Additional sick leave beyond what state and local law require may be available but is unprotected
- Adoption Reimbursement
- Disability Benefits (short term and long term)
- Life and Accidental Death Insurance
- Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
- Employee Assistance Programs (EAP)
- Extensive employee wellness programs
- Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
Weekly Hours: 40
Time Type: Regular
About the company
Join AT&T and reimagine the communications and technologies that connect the world. The Data Science team at AT&T leads transformation through data-driven decisions that enhance the customer experience and businesses worldwide. Leveraging one of the largest data sets available, we develop meaningful insights that drive continuous innovation. We utilize the latest technology to develop generative AI solutions with real business impacts. When you step into a career with AT&T, you won’t just imagine the future-you’ll create it.
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