Senior DataAI Engineering

JOB LOCATION: 2900 Plano Pkwy. Plano TX 75075

DUTIES: 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 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 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. Utilize Big data technologies Hadoop NoSQL and text mining.

REQUIREMENTS: Requires a Bachelors degree or foreign equivalent degree in Computer Science or Computer Engineering and 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 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 WebSocket ends to enable iPhone app for voice streaming GenAI experience; and utilizing Big data technologies Hadoop NoSQL and text mining.

Our Senior Data/AI Engineering earns between $151410 - $237400 yearly. Not to mention all the other amazing rewards that working at AT&T offers.

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:

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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 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.