Lead Data/AI Engineering

AT&T•Dallas, TX

6d•Onsite

About The Position

The Lead Data/AI Engineering role helps shape how data and AI are used across the enterprise to enable smarter decisions, faster innovation, and scalable AI adoption. This is a full-time onsite role performed at the designated work location five days per week; relocation is not offered. The role designs, builds, deploys, and supports production-grade Databricks applications that connect enterprise data, AI capabilities, and business workflows. It also develops and operationalizes AI and machine learning solutions, scalable ETL and data pipelines, and integrations across Snowflake, Azure, ADLS, Databricks, APIs, and other enterprise data platforms. The role applies MLOps practices and supports data integrity, security, compliance, and responsible AI across the lifecycle. The Lead partners with business and technical stakeholders to understand use cases, turn requirements into technical designs, and iteratively deliver data and AI solutions. A bachelor’s degree is desired, and 5+ years of related experience is listed. Certification is required in some areas. The position has no supervisory responsibility. The annual salary range is $158,200–$237,400 USD. Individual starting salary may depend on geography, experience, expertise, and education or training. The role is based in Dallas, Texas, with 40 weekly hours.

Requirements

Hands-on experience building, deploying, and supporting Databricks applications, including integrating data sources, developing user interfaces, and delivering applications for business users.
Proficiency in Python, SQL, and HTML.
Strong SQL skills for querying, transforming, and integrating data.
Experience building production-grade data applications and AI solutions.
Hands-on experience designing and supporting ETL processes and large-scale data pipelines for analytics and AI workloads.
Hands-on experience developing and integrating solutions using Snowflake and Azure, including data storage, processing, and secure access, and experience working with ADLS.
Practical experience supporting AI and machine learning solutions, including data preparation, integration, deployment, and operational considerations.
Strong analytical and problem-solving skills, including the ability to troubleshoot complex data and AI pipeline issues end-to-end.
Demonstrated experience as a Lead or advanced data engineer, AI engineer, or in a similar role delivering complex data and AI solutions.
Experience delivering Databricks applications and AI-enabled solutions in enterprise environments.
Ability to work cross-functionally and communicate technical concepts clearly to technical and non-technical stakeholders.
Bachelor’s degree desired, such as in Computer Science or Scientific Computing.
5+ years of related experience.
Certification is required in some areas.

Nice To Haves

Passion for learning about emerging data, AI, and cloud technologies and applying them thoughtfully in production environments.

Responsibilities

Design, build, deploy, and support production-grade Databricks applications using HTML for user interfaces and SQL for data access and transformation.
Design, build, and operationalize AI and machine learning solutions that address business needs and meet reliability, performance, and responsible-use expectations in production.
Design, build, and support scalable ETL and data pipelines for ingesting, cleaning, transforming, and serving data for analytics, machine learning, and AI workloads.
Develop and integrate solutions across Snowflake, Azure, ADLS, Databricks, APIs, and other enterprise data platforms.
Implement MLOps practices, including monitoring, evaluation, and lifecycle management.
Collaborate with business partners and technical stakeholders to understand use cases, translate requirements into technical designs, and iteratively deliver data and AI solutions.
Ensure data integrity, security, and compliance across the data and AI lifecycle, supporting responsible AI practices and enterprise risk management standards.
Troubleshoot complex data and AI pipeline issues end-to-end.

Benefits

Medical, dental, and vision coverage
401(k) plan
Tuition reimbursement program
Paid time off and holidays, including at least 23 vacation days each year and 9 company-designated holidays, based on date of hire
Paid parental leave
Paid caregiver leave
Additional sick leave may be available beyond what state and local law require; it is unprotected
Adoption reimbursement
Short- and long-term disability benefits
Life and accidental death insurance
Supplemental benefit programs, including critical illness, accident, hospital indemnity, and group legal coverage
Employee Assistance Programs (EAP)
Employee wellness programs
Employee discounts up to 50% on eligible AT&T mobility plans and accessories, AT&T internet and fiber where available, and AT&T phone