Senior Data/AI Engineer

AT&T

Senior Data/AI Engineer developing high-performance distributed systems for GenAI at AT&T. Engaging with clients and using big data technologies on Azure for scalable applications.

Posted 5/7/2026full-timePlano • Texas • 🇺🇸 United StatesSenior💰 $151,410 - $237,400 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudHadoopNoSQLPythonServiceNowSpark

About the role

Key responsibilities & impact

Responsible for the development of high performance, distributed computing systems using Big Data technologies for GenAI development
Build scalable multi-threaded Spark clusters using Databricks interfacing with NoSQL
Design and deliver GenAI technologies at scale with real time results using OpenAI and large language models to service chat experience for business partners across the company
Engage with clients to understand business requirements and work with teams to identify architecture needed to deliver necessary features
Deliver insights and improvements in GenAI results and influence development decisions for optimal software delivery
Build auto LLM to automate discovery of the best configuration to be identified in leaderboard results using RAG models
Build truth set auto generator to optimize leaderboard ranking based on standardized questions and answers
Integrate various calculation and models for GenAI truth set results to rank best performing results
Integrate Lang Chain loaders to embed model packages to be able to process all types of data
Use LLM large language models for optimized data retrieval methodology and further augment and optimize results using RAG
Use Vector DB to manage chunks and improve configurations in optimized VectorDB management
Process data from Snowflake, ServiceNow for GenAI integration
Document all GenAI work and train team on new capabilities
Build Python Fast API rest services to support GenAI integration across systems
Implement WebSocket ends to enable iPhone app for voice streaming GenAI experience

Requirements

What you’ll need

Requires a Bachelor’s degree, or foreign equivalent degree in Computer Science or Computer Engineering
1 year of experience in the job offered, or 1 year of experience in a related occupation building scalable multi-threaded Spark clusters using Databricks interfacing with NoSQL
Experience in data mining using various distributed technologies on the Azure Cloud platform
Designing and delivering GenAI technologies at scale with real time results using OpenAI and large language models
Building Python Fast API rest services
Implementing WebSocket ends to enable iPhone app for voice streaming GenAI experience
Utilizing Big data technologies, Hadoop, NoSQL and text mining

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Big Data technologiesSparkDatabricksNoSQLGenAIOpenAIlarge language modelsPython Fast APIWebSocketdata mining

Soft Skills

client engagementteam collaborationcommunicationproblem-solvingdocumentation

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Computer Engineering