Overview
On Site
USD 147,700.00 - 196,100.00 per year
Full Time
Skills
Distributed Computing
Big Data
Multithreading
Apache Spark
Databricks
NoSQL
Data Mining
Microsoft Azure
Cloud Computing
Real-time
Computer Science
Computer Engineering
Large Language Models (LLMs)
Management
Snow Flake Schema
ServiceNow
Generative Artificial Intelligence (AI)
Python
RESTful
Artificial Intelligence
Insurance
Legal
Internet
Optical Fiber
Law
Job Details
Job Description:
JOB LOCATION: 2900 W Plano Pkwy., Plano, TX 75075
DUTIES: Develop 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. Work 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 truthset results to rank best performing results. Integrate Lang Chain loaders to embed model packages to be able to process all types of data. Utilize LLM large language models for optimized data retrieval methodology and further augment and optimize results using RAG. Utilize VectorDB 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 FastAPI rest services.
REQUIREMENTS: Requires a Bachelor's degree, or foreign equivalent degree, in Computer Science or Computer Engineering and 3 years of experience in the job offered, or 3 years of experience in a related occupation utilizing LLM large language models for optimized data retrieval methodology and further augment and optimize results using RAG; utilizing VectorDB to manage chunks and improve configurations in optimized VectorDB management; processing data from Snowflake, ServiceNow for GenAI integration; documenting all GenAI work and train team on new capabilities; and building Python FastAPI rest services.
Our Senior Data/AI Engineering earn between $147,700 - $196,100 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:
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.
JOB LOCATION: 2900 W Plano Pkwy., Plano, TX 75075
DUTIES: Develop 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. Work 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 truthset results to rank best performing results. Integrate Lang Chain loaders to embed model packages to be able to process all types of data. Utilize LLM large language models for optimized data retrieval methodology and further augment and optimize results using RAG. Utilize VectorDB 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 FastAPI rest services.
REQUIREMENTS: Requires a Bachelor's degree, or foreign equivalent degree, in Computer Science or Computer Engineering and 3 years of experience in the job offered, or 3 years of experience in a related occupation utilizing LLM large language models for optimized data retrieval methodology and further augment and optimize results using RAG; utilizing VectorDB to manage chunks and improve configurations in optimized VectorDB management; processing data from Snowflake, ServiceNow for GenAI integration; documenting all GenAI work and train team on new capabilities; and building Python FastAPI rest services.
Our Senior Data/AI Engineering earn between $147,700 - $196,100 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:
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.