Senior Data/AI Engineering

AT&T•Atlanta, GA

2d•Onsite

About The Position

GrowthHub is a new platform designed to help ATS employees unlock their full potential. GrowthHub provides personalized insights into skills and recommended growth opportunities tailored to each individuals unique journey in ATS. ATS is building this platform to invest in individual development and ensure employees have the resources and support to achieve their career aspirations. In GrowthHub, employees will be able to validate their skills, add new skills, choose where they want to grow, build their own growth plan, and equip themselves to proactively evolve their skills for future ATS initiatives. The Senior Data/AI Engineer will architect and implement advanced data infrastructure and AI models to enable scalable and intelligent solutions across the organization. This role requires a deep understanding of machine learning, data engineering, and cloud technologies. Design, build, and maintain robust data pipelines and AI/ML models. Collaborate with data scientists and analysts to operationalize machine learning solutions. Optimize data storage, processing, and retrieval systems for performance and scalability. Implement best practices for data governance, security, and compliance. Evaluate and integrate emerging AI technologies and tools. Troubleshoot and resolve complex data and AI system issues.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
Significant experience in data engineering and machine learning model development.
Proficiency with Python, Spark, TensorFlow/PyTorch, and cloud platforms (AWS, Azure, GCP).
Experience with modern analytics and workflow tools such as Power BI, MixPanel, Snowflake, Databricks, Jira Cloud, Jira Align, and ServiceNow.
Strong experience with big data technologies like Hadoop, Kafka, and SQL/NoSQL databases.
Ability to design scalable and maintainable AI systems.
Excellent communication and collaboration skills.

Responsibilities

Design, build, and maintain robust data pipelines and AI/ML models.
Collaborate with data scientists and analysts to operationalize machine learning solutions.
Optimize data storage, processing, and retrieval systems for performance and scalability.
Implement best practices for data governance, security, and compliance.
Evaluate and integrate emerging AI technologies and tools.
Troubleshoot and resolve complex data and AI system issues.

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.