Senior Data​/AI Engineering

Location

2900 Plano Pkwy., Plano, TX 75075

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 No

SQL, including data mining using various distributed technologies on the Azure Cloud platform. 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 identified in leader board results using RAG models. Build truth set auto generator to optimize leader board 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 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 Vector

DB management. Process data from Snowflake and Service Now 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 Web Socket endpoints to enable iPhone app for voice‑streaming GenAI experience. Utilize Big Data technologies, Hadoop, No

SQL, and text mining.

Requires a Bachelor’s degree, or foreign equivalent degree in Computer Science or Computer Engineering, and one year of experience in the job offered, or one year of experience in a related occupation building scalable multi‑threaded Spark clusters using Databricks interfacing with No

SQL, including 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 to service chat experience for business partners across the company; building Python Fast API REST services; implementing Web Socket endpoints to enable iPhone app for voice‑streaming GenAI experience; and utilizing Big Data technologies, Hadoop, No

SQL and text mining.

Senior Data/AI Engineering earns between $151,410 – $237,400 yearly.

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (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

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.