Jobs in the United States

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Added 2 mins ago
Sales Rep. 4 - Superficial Venous Interventions (SVI) - Philadelphia, PA
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MUST HAVE: BASIC QUALIFICATIONS:
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UO
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Lead Data/AI Engineering
AT&T
Dallas, TX
- $158,200 to $237,400 USD / year
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 · Certification is required in some areas
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AI and Distributed Systems Backend Engineer - Manager - Consulting - Location OPEN
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To qualify for the role, you must have
Added 4 hours ago
AI and Distributed Systems Backend Engineer - Manager - Consulting - Location OPEN
EY
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Kansas City, MO
To qualify for the role, you must have

AT&T

Lead Data/AI Engineering

Dallas, TX, United States

$158,200 to $237,400 USD / year

Apply on usnlx.com About employer

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Job details

Pay: $158,200 to $237,400 USD / year
Experience: Education/Experience: Bachelor’s degree (BS/BA) desired such as Computer Science or Scientific Computing. 5+ years of related experience.
Posting language: English
Posted: Nov 6, 2026

Original 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.

Overall Purpose: THIS JOB REQUIRES SPECIAL APPROVAL FROM THE COMPENSATION JOB FAMILY OWNER. Architect, develop, and optimize scalable, high-performance solutions using advanced software engineering methodologies and cutting-edge Data & AI technologies, transforming complex data into actionable insights that drive informed decision-making and business growth through collaborative efforts with diverse teams.

Key Roles and Responsibilities:

Typical tasks may include, but are not limited to, the following:

Design, Development, Testing, and Deployment: Lead the creation of scalable Data & AI applications using best practices in software engineering such as automation, version control, and CI/CD. Develop and implement rigorous testing strategies to ensure application reliability and performance. Oversee deployment processes, addressing issues related to configuration, environment, or security.
Engineering and Analytics: Translate Data & AI use case requirements into effective data models and pipelines, ensuring data integrity through statistical quality procedures and advanced AI techniques.
API & Microservice Development: Architect and build secure, scalable microservices and APIs, ensuring broad usability, security, and adherence to best practices in documentation and version control.
Platform Scalability & Optimization: Evaluate and select optimal technologies for cloud and on-premise deployments, implementing strategies for scalability, performance monitoring, and cost optimization.
Technologies: Demonstrate expertise with Data & AI technologies (e.g., Spark, Kafka, Databricks, Snowflake), programming languages (e.g., Java, Scala, Python, SQL), API development patterns (e.g., HTTP/REST, GraphQL), and cloud platforms (e.g., Azure, AWS, GCP).
As part of the Revenue Operations Reinvention Lab, this role will design, build and deploy targeted data and agentic AI solutions that improve Revenue Operations productivity. The engineer will focus on Smaller, high-value use cases that fall outside quarterly enterprise technology roadmaps, while ensuring solutions are secure, maintainable, measurable, and aligned with broader technology architecture.
Identify and prioritize high-value opportunities: Partner with Rev Ops stakeholders to discover workflow bottlenecks, repetitive tasks, and decision-support needs that can be addressed through focused data, automation, or agentic AI solutions.
Own the end-to-end delivery of targeted Rev Ops data and agentic AI solutions - from use-case discovery and rapid prototyping through controlled deployment, measurement, documentation, and operational handoff - while aligning with enterprise platforms, architecture, and governance requirements.

Job Contribution: An experienced professional, recognized as an expert, creatively resolving complex issues with broad and in-depth knowledge. Leads significant projects with strategic autonomy, influencing executive decisions. Mentors less experienced staff, implements long-term plans impacting the organization, and frequently collaborates with senior leadership.

Supervisor: No

TCP Career Step Differentiator: Managing very complex work related to data engineering and AI. Solving major business problems.

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.

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

Weekly Hours:

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. Click here (https://urldefense.com/v3/__https:/www.eeoc.gov/poster__;!!BhdT!gVgkRvpoFXvxCPguQlKOpna1E9V2xmnpQvxcjhTWaBpnwCl09S3N6PYnLgM6kQjmJXAYFLihSQ4W3Sw2boE9zgEA$) to learn more or request an application accommodation here (https://urldefense.com/v3/__https:/www.att.jobs/accommodation/__;!!BhdT!gVgkRvpoFXvxCPguQlKOpna1E9V2xmnpQvxcjhTWaBpnwCl09S3N6PYnLgM6kQjmJXAYFLihSQ4W3Sw2bszyLYN3$) .

AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws

We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status

Apply on usnlx.com About employer

More about this job

Skills

Decision making
Data models
Microservices
Documentation
Apache Spark
Apache Kafka
Databricks
Snowflake
Programming languages
Oracle Java
Scala
Python
SQL
API development
GraphQL
Microsoft Azure
AWS
Google Cloud
Workflow
Data engineering
Computer science

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Work requirements

Jobs in the United States