What you'd actually do

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 to drive business insights and enable automation.

Collaborate with data scientists, architects, and business stakeholders to transform raw data into actionable intelligence, while architecting and maintaining 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, and operationalize these 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, leveraging tools such as Apache Atlas, Collibra, or cloud security features.

Research and prototype cutting-edge AI/ML algorithms, evaluate emerging technologies, and communicate findings through technical documentation, dashboards (e.g., Power BI, Tableau), and presentations.

What the JD emphasized

progressive post-baccalaureate experience

Python and SQL for data engineering and AI/ML applications

cloud platforms (e.g., AWS, Azure ) and data pipeline tools (e.g., Apache Spark, Airflow, Databricks)

machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)

CI/CD and version control systems (e.g., Git)

JOB TITLE: Lead Data/AI Engineering

JOB LOCATION: 2900 W Plano Pkwy, Plano, TX 75075

DUTIES: 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 to drive business insights and enable automation. Collaborate with data scientists, architects, and business stakeholders to transform raw data into actionable intelligence, while architecting and maintaining 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, and operationalize these 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, leveraging tools such as Apache Atlas, Collibra, or cloud security features. Research and prototype cutting-edge AI/ML algorithms, evaluate emerging technologies, and 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.

REQUIREMENTS: Requires a Bachelor’s degree, or foreign equivalent degree in Computer Science, Computer Engineering or Data Science and 5 (five) years of progressive post-baccalaureate experience in the job offered or 5 (five) years of progressive post-baccalaureate experience in 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).

Our Lead Data/AI Engineerings earn between $170,000 - $237,400 yearly. Not to mention all the other amazing rewards that working at AT&T offers.

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:

Time Type:

Regular

Location:

Plano, Texas

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.