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Job description
About the Team
The Consumer Technology eXperience (CTX) Compliance Team oversees the following compliance areas for the broader CTX organization. CTX-Compliance designs, leads, and implements a digital data privacy and accessibility program to meet corporate and regulatory needs. It serves as the interface to the Chief Compliance Office, Legal, Regulatory and Audit partners.
Job Summary
This Principal System Engineer is a senior technical role responsible for architecting, designing, and delivering AI‑driven, data‑intensive, and cloud‑native platforms supporting AT&T’s Consumer Technology eXperience (CTX) digital and compliance ecosystems. This role requires deep, hands‑on experience in Artificial Intelligence, Generative AI, Agentic AI, Machine Learning, Deep Learning and Data Engineering, combined with enterprise‑level system design, modernization, and cross‑functional collaboration.
NOTE- This role requires the following:
Experience developing Agentic AI applications using Python‑based frameworks (e.g., ADK) or equivalent orchestration platforms.
Hands‑on experience building AI/ML, Generative AI, or Agentic AI solutions in production environments.
8+ years of strong, demonstrated expertise in PHP / Laravel development, including production‑grade applications.
AI / GenAI / Agentic AI Engineering
Design, build, and operate production‑grade AI, GenAI, and Agentic AI solutions at enterprise scale.
Develop Agentic AI applications using Python‑based frameworks (e.g., ADK) or equivalent orchestration platforms.
Implement LLM‑based workflows including prompt orchestration, RAG, and autonomous agent patterns.
Work with Data Science and ML teams to operationalize AI solutions with security, auditability, and observability.
Embed responsible AI practices including privacy, logging, monitoring, and governance controls.
Architect and implement end‑to‑end ETL/ELT pipelines (ingestion, cleansing, transformation, enrichment).
Build real‑time and batch data pipelines using Kafka and event‑driven architectures.
Engineer data platforms using Python, PySpark, and Databricks on Azure (preferred)
Apply expertise in data modeling, data architecture, data mining, and data warehousing.
Process structured, semi‑structured, and unstructured data at scale.
Define and enforce engineering standards, architectural patterns, and best practices.
Drive legacy modernization including monolith‑to‑microservices and cloud migrations.
Design microservices‑based architectures to expose AI and data capabilities.
Develop scalable solutions using: Frontend: Vue.js or equivalent modern UI frameworks
Design secure, well‑governed APIs (REST, GraphQL) with authentication, auditing, and logging.
Ensure code quality, testability, and maintainability.
Accessibility, Security & Compliance
Embed accessibility, security, privacy, and SOX controls into application and AI workflows.
Integrate automated and manual accessibility testing into CI/CD pipelines.
Minimum Qualifications
Experience developing Agentic AI applications using Python‑based frameworks (e.g., ADK) or equivalent orchestration platforms.
Hands‑on experience building AI/ML, Generative AI, or Agentic AI solutions in production environments.
10+ years of hands‑on experience in Software Engineering, Data Engineering, or System Engineering.
8+ years of strong, demonstrated expertise in PHP / Laravel development, including production‑grade applications.
8+ years of hands‑on experience designing, developing, and maintaining desktop, mobile, and responsive web applications using Laravel, Node.js, and Vue.js, deployed in Azure container‑based environments.
8+ years of strong, demonstrated expertise in Node.js, including API and microservices development.
8+ years of experience designing and implementing database solutions, with expert‑level PostgreSQL (PGSQL) coding, performance tuning, and industry‑standard normalization practices.
Strong hands‑on expertise in:
Python and PySpark
Distributed and cloud‑native architectures
Experience with:
Event‑driven and streaming architectures (Kafka)
Microservices and API‑based platforms
Secure coding and compliance‑driven development
Experience with OAuth providers, cloud logging, auditing, and monitoring tools.
Preferred Qualifications
Experience implementing LLM‑based solutions, including prompt orchestration and retrieval‑augmented generation (RAG).
Experience with TypeScript and GraphQL in modern API and frontend architecture.
Proficiency with real‑time data processing and large‑scale distributed data platforms.
Experience with Docker and Linux‑based systems for containerized deployments.
Experience with Power BI, and/or observability and visualization tools such as Grafana, Kibana, or Tableau.
Experience integrating accessibility testing and compliance checks into CI/CD pipelines.
Experience working in large‑scale enterprise or highly regulated environments.
Education
Bachelor of Science degree in Computer Engineering, Computer Science, Applied Science, Electrical Engineering, or Math; Developer nanodegree; or equivalent experience.
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.
Our Principal System Engineering , earns between $174,100-$261,100 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:
401(k) plan
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
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.
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Worksite address
plano, TX, 75086, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.