Job Description:

Lead Software Engineer – Data Development for AI applications

About the Company:

At AT&T, we are connecting the world through the latest tech, top-of-the-line communications and the best in entertainment. Our groundbreaking digital solutions provide intuitive and integrated experiences for millions of customers across online, retail and care channels. Join our mission to deliver compelling communication and entertainment experiences to customers around the world as we continue to evolve as a technology-powered, human-centered organization. As part of our team, you will transform the way we deliver a seamless customer experience with digital at the center of all you do. In our world, digital is much larger than just an eCommerce channel, we are transforming all channels to digitally perform as one team to create a better customer experience. As we move into 2026, the digital transformation will revolutionize the digital space, and you can build a career that will propel your future.

About the Team:

As a Lead Software Engineer – Data Development for Applied AI, you will join our Digital Engineering and Customer Experience (DECX) Automation & Applied AI team. This team is committed to developing autonomous AI agents that empower customers to purchase our products and services seamlessly, delivering exceptional sales experiences across both text and voice channels.

Job Summary:

We are seeking a highly motivated and innovative Data Engineer to join our dynamic team. A key aspect of your work will involve data development, including collecting, curating, and analyzing customer interaction data to build AI models that understand individual preferences and behaviors. You will collaborate closely with cross-functional teams to create next-generation solutions that push the boundaries of natural language understanding, intelligent dialogue management, and tailored conversational experiences driven by robust data insights.

The ideal candidate must demonstrate proficiency in Python, showcasing the ability to write efficient, clean, and maintainable code.

In addition to technical expertise, we value candidates who display a willingness to learn and embrace new technologies, specifically in agentic AI development. An openness to acquiring knowledge and skills in this emerging field is essential for this role.

Roles and Responsibilities:

Design, build, and maintain robust, scalable data pipelines.
Perform data research to identify data sources within the ecosystem and apply enrichments to formulate meaningful data points.
Implement, optimize and maintain scheduled jobs, batch processors and real-time data ingestion pipelines.
Implement event-driven architecture to react to events.
Optimize and fine-tune database performance to ensure it can support big data with ideal response times.
Design data schemas that can evolve over time and align with strategic goals.
Design, Implement and optimize microservices to expose the data to consuming applications.
Design caching and data management practices to improve the performance.
Ensure the data architecture supports the business requirements.
Explore new opportunities for data acquisition and enhance data collection procedures.
Explore and identify appropriate segmentation strategies to support RAG implementations.
Demonstrate a commitment to learning and adopting emerging technologies, with a particular focus on agentic AI development.

Primary skills:

Over 10 years of experience as a Data Engineer or Software Engineer, with expertise in software engineering, data engineering, data warehousing, data research, and requirements gathering.
Demonstrated expertise in programming languages such as Python and PySpark for executing data engineering tasks.
Exceptional analytical and problem-solving skills, particularly in handling unstructured raw data and synthesizing meaningful patterns.
Hands-on experience in developing complete ETL pipelines, from source to destination, including data cleansing, transformation and enrichment.
Proficiency in PySpark for engineering data pipelines using Databricks on AWS or Azure.
Technical prowess in data modeling, data mining, data architectures, and data warehousing.
Proficiency in event driven architectures in cloud preferably in Azure (AWS/GCP is also good).
Proficiency in real-time data processing using Kafka.
Expertise in a range of database and data warehouse technologies such as SQL (MySQL, PostgreSQL), NoSQL databases (MongoDB, Azure Cosmos DB, Bigtable), and data warehouse/data lake technologies (Snowflake, BigQuery).
Proficiency in OAUTH providers, Auditing and Logging tools in cloud for monitoring and troubleshooting.
Expertise in microservices to expose data to consuming applications.
Familiarity with Node.js, TypeScript, and GraphQL is desired; willingness to learn these languages is strongly preferred.
Familiarity with Linux and Docker is a nice-to-have.
Familiarity with Agentic AI application development using frameworks such as ADK with Python is a plus.
Experience with Power BI and other visualization tools such as Kibana, Grafana, or Tableau is a plus.
Knowledge of cloud services (AWS, Google Cloud, or Azure) and understanding of distributed data processing frameworks.
Ability to manage and delegate work across delivery teams to meet priorities.
Skilled in client engagements, deciphering client business needs, and providing data solution recommendations.
Excellent communication skills, with experience in designing, developing, and delivering presentations.

Education Qualification: Preferred Bachelor of Science in Computer Science, Statistics, Math or Scientific Computing; Developer nanodegree, or certification with equivalent experience value add.

Supervisory: No.

Locations: Dallas, TX or Bothell, WA or Alpharetta, GA or Atlanta, GA

AT&T is leading the way – for customers, businesses, and the industry. We are developing new technologies to make it easier for our customers to stay connected to their world. Together, we’ve built a premier integrated communications and entertainment company and an amazing place to work and grow. Team up with industry innovators every time you walk into work, creating the world you always imagined. Ready to #transformdigital with us? If you are passionate about building intelligent, agentic AI systems that transform how people interact with technology, we encourage you to apply and join us on our mission to shape the future of conversational AI.

Apply now!

Our Lead Software Engineering, earns between $143,800-$215,800.00 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:

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.

#LI-Onsite – Full-time office role-

Ready to join our team? Apply today

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.

Weekly Hours:

Time Type:

Regular

Location:

USA:TX:Dallas / Two AT&T Plaza (211 S Akard St) - Dat:211 S Akard St

Salary Range:

$128,400.00 - $215,800.00

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.

AT&T

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Lead Software Engineer – Data Development for AI Applications