Senior Data/AI Engineering

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

Overall Purpose: THIS JOB REQUIRES SPECIAL APPROVAL FROM THE COMPENSATION JOB FAMILY OWNER. 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.

• Technologies: 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).

Job Contribution: An experienced professional with advanced, interdisciplinary knowledge, resolving difficult and complex issues using broad professional concepts. Guides others, applying advanced principles and company practices. Leads moderate sized projects (or parts of larger projects) with strategic value. Operates autonomously with frequent senior leadership interaction. Supervisor: No

TCP Career Step Differentiator: Managing complex work related to data engineering and AI.

Education/Experience: Bachelor’s degree (BS/BA) desired such as Computer Science or Scientific Computing. 3+ years of related experience. Certification is required in some areas.

Our Senior Data/AI Engineering jobs earn between $128,400.00 - $192,600.00 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