Lead Data/AI Engineering
AT&T•Plano, TX
•$170,000 - $237,400•Onsite
About The Position
This role involves designing, developing, and optimizing advanced data pipelines and AI/ML models to drive business insights and enable automation. The Lead Data/AI Engineer will collaborate with various stakeholders to transform raw data into actionable intelligence, architect and maintain robust data solutions, and operationalize AI/ML models. The position also requires ensuring data quality, security, and compliance, researching new algorithms, and championing best practices in CI/CD and automation.
Requirements
- Bachelor’s degree, or foreign equivalent degree in Computer Science, Computer Engineering or Data Science.
- 5 years of progressive post-baccalaureate experience in the job offered or a related occupation.
- Utilizing Python and SQL for data engineering and AI/ML applications.
- Using cloud platforms (e.g., AWS, Azure) and data pipeline tools (e.g., Apache Spark, Airflow, Databricks).
- Working with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Utilizing CI/CD and version control systems (e.g., Git).
Responsibilities
- Design, develop, and optimize advanced data pipelines using technologies such as Apache Spark, Kafka, Airflow, and cloud-native tools like AWS Glue, Azure Data Factory, or Google Dataflow.
- Collaborate with data scientists, architects, and business stakeholders to transform raw data into actionable intelligence.
- Architect and maintain robust data solutions across data lakes, warehouses, and marts using platforms like Snowflake, Redshift, or BigQuery.
- Develop, deploy, and monitor AI/ML models with frameworks such as TensorFlow, PyTorch, and Scikit-Learn.
- Operationalize AI/ML models via APIs and batch or streaming services.
- Ensure data quality, security, and compliance by applying best practices in data governance, encryption, and access control.
- Research and prototype cutting-edge AI/ML algorithms and evaluate emerging technologies.
- Communicate findings through technical documentation, dashboards (e.g., Power BI, Tableau), and presentations.
- Champion best practices in CI/CD, automation, and code review to continuously improve the performance, scalability, and reliability of the organization’s data and AI ecosystem.
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
