Job Description: This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered. Job Summary: Architect, develop, and optimize scalable, high-performance solutions using advanced software engineering methodologies and cutting-edge Data & AI technologies, transforming complex data into actionable insights that drive informed decision-making and business growth through collaborative efforts with diverse teams. Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following: • Design, Development, Testing, and Deployment: Lead the creation of scalable Data & AI applications using best practices in software engineering such as automation, version control, and CI/CD. Develop and implement rigorous testing strategies to ensure application reliability and performance. Oversee deployment processes, addressing issues related to configuration, environment, or security. • Engineering and Analytics: Translate Data & AI use case requirements into effective data models and pipelines, ensuring data integrity through statistical quality procedures and advanced AI techniques. • API & Microservice Development: Architect and build secure, scalable microservices and APIs, ensuring broad usability, security, and adherence to best practices in documentation and version control. • Platform Scalability & Optimization: Evaluate and select optimal technologies for cloud and on-premise deployments, implementing strategies for scalability, performance monitoring, and cost optimization. Qualifications • Demonstrate expertise with Data & AI technologies (e.g., Spark, Kafka, Databricks, Snowflake), programming languages (e.g., Java, Scala, Python, SQL), API development patterns (e.g., HTTP/REST, GraphQL), and cloud platforms (e.g., Azure, AWS, GCP). • Bachelor's degree (BS/BA) desired such as Computer Science or Scientific Computing. 5+ years of related experience. Certification is required in some areas. Supervisor: No Our Lead Data/AI Engineering, earns between $143,800-$215,800 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 Location: Plano, Texas Salary Range: $143,800.00 - $215,800.00 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.
Job Type
Fulltime role
Skills required
Java, Python, Azure
Location
Plano, Texas
Salary
$144,000 - $216,000
Date Posted
June 25, 2025
Lead Data/AI Engineering role at AT&T Mobility Services LLC involves architecting and developing scalable solutions using advanced Data & AI technologies. The position requires a strong background in software engineering and data analytics, with a focus on collaboration and optimization.