Lead Data/AI Engineering

AT&T Services, Inc.; Dallas (TX); On-site; USD 158,000 - 237,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

PTO & Holidays

Parental Leave

Disability Benefits

Employee Discounts

Job summary

AT&T inc. in Dallas is seeking a Lead Data/AI Engineer to design, build, and operate production-grade data and AI applications. The role covers Databricks apps, AI solutions, data pipelines, and cloud enablement across Snowflake, Azure, and ADLS, with strong governance and security.

You will collaborate with business partners, own end-to-end delivery, and apply MLOps practices to keep AI systems accurate and scalable in production.

Qualifications

• Bachelor’s degree in Computer Science or related field, 5+ years of related experience.
• Experience building production-grade data and AI solutions.
• Certification is required in some areas.

Responsibilities

• Databricks Application Development: Design, build, deploy, and support production-grade Databricks applications.
• AI Engineering: Design, build, and operationalize AI and ML solutions for business needs.
• Data Engineering & Pipelines: Design, build, and support scalable ETL/data pipelines.
• Cloud & Platform Enablement: Develop and integrate across Snowflake, Azure, ADLS, Databricks, APIs.
• AI Operations & Quality: Implement MLOps practices for reliable AI systems.

Skills

Databricks

Python

SQL

HTML

Data pipelines

Azure

Education

Bachelor’s degree in Computer Science/related field

Tools

Snowflake

ADLS

Databricks

APIs

Job description

This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered.

What you’ll do:

• Databricks Application Development: Design, build, deploy, and support production‑grade Databricks applications that connect enterprise data, AI capabilities, and business workflows, using HTML for user interfaces and SQL for data access and transformation.
• AI Engineering: Design, build, and operationalize AI and machine learning solutions that address business needs, ensuring reliability, performance, and responsible use in production environments.
• Data Engineering & Pipelines: Design, build, and support scalable ETL and data pipelines that ingest, clean, transform, and serve data for analytics, machine learning, and AI workloads.
• Cloud & Platform Enablement: Develop and integrate solutions across Snowflake, Azure, ADLS, Databricks, APIs, and other enterprise data platforms to deliver secure, scalable, and performant data and AI applications.
• AI Operations & Quality: Implement MLOps practices, including monitoring, evaluation, and lifecycle management to ensure AI systems remain accurate, scalable, and reliable over time.
• Business Partnership: Collaborate with business partners and technical stakeholders to understand use cases, translate requirements into technical designs, and iteratively deliver high‑value data and AI solutions.
• Governance & Security: Ensure data integrity, security, and compliance across the data and AI lifecycle, supporting responsible AI practices and enterprise risk management standards.

What you’ll need:

• Databricks Application Development Experience: Hands‑on experience building, deploying, and supporting Databricks applications is required, including integrating data sources, developing user interfaces, and delivering applications for business users.
• Strong Engineering Foundation: Proficiency in Python, SQL, and HTML, with experience building production‑grade data applications and AI solutions. Strong SQL skills for querying, transforming, and integrating data are essential.
• Data Pipeline Expertise: Hands‑on experience designing and supporting ETL processes and large‑scale data pipelines for analytics and AI workloads.
• Snowflake & Azure Experience: Hands‑on experience developing and integrating solutions using Snowflake and Azure is required, including data storage, processing, and secure access, along with experience working with ADLS.
• Applied AI Experience: Practical experience supporting AI and machine learning solutions, including data preparation, integration, deployment, and operational considerations.
• Problem‑Solving Mindset: Strong analytical skills with the ability to troubleshoot complex data and AI pipeline issues end‑to‑end.

What you’ll bring:

• Lead‑Level Experience: Demonstrated experience as a Lead or advanced data engineer, AI engineer, or similar role delivering complex data and AI solutions.
• Enterprise Application Delivery: Experience delivering Databricks applications and AI‑enabled solutions in enterprise environments.
• Collaboration & Communication: Ability to work cross‑functionally and clearly communicate technical concepts to both technical and non‑technical stakeholders.
• Continuous Improvement: A passion for learning and staying current with emerging data, AI, and cloud technologies—and applying them thoughtfully in production environments.

Education/Experience:

Bachelor’s degree (BS/BA) desired such as Computer Science or Scientific Computing. 5+ years of related experience. Certification is required in some areas.

Supervisor:

No

Our Lead Data/AI Engineering jobs earn between $158,200.00 - $237,400.00 USD Annual.

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: Dallas, Texas
• Salary Range: $158,200.00 - $237,400.00

AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

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