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Tracking AI hiring across 200+ US tech companies. Stage, salary, and stack signals on every role — refreshed weekly.

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AT&T

AT&T

Telecom · Telecom

HQ
Dallas, US
Founded
2005
Size
200,000+
Website
att.com

Currently tracking 12 active AI roles, up 221% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $87k–$1128k (avg $259k).

Hiring
12 / 17
Momentum (4w)
↑+633 +221%
919 opens last 4w · 286 prior 4w
Salary range · avg $259k
$87k–$1128k
USD · disclosed roles only
Tracked since
5w ago
last role yesterday
Hiring velocityscroll left for older weeks
5 new roles
Jan 12
2 new roles
19
4 new roles
26
1 new role
Feb 2
4 new roles
9
2 new roles
16
8 new roles
23
16 new roles
Mar 2
13 new roles
9
29 new roles
16
33 new roles
23
62 new roles
30
65 new roles
Apr 6
126 new roles
13
224 new roles
20
253 new roles
27
395 new roles
May 4
47 new roles
11

Jobs (2)

12 AI · 816 total active
FilteredFunctionResearch×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 3Pretrain · 1Post-train · 1Serve · 1Agent · 14Ship · 3
Function
AllProduct · 588Engineering · 226Research · 2
Country
AllUnited States · 794India · 13Mexico · 2Slovakia · 2Czech Republic · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
AI Research Scientist (Government)
AI Research Scientist role supporting DoD and federal defense customers by advancing AI algorithms, developing innovative models, and applying cutting-edge research to solve complex mission-critical challenges in a secure government environment.
PretrainResearchChantilly, VA1w ago8
Sr. Specialist Member of Technical Staff
This role focuses on driving research and development initiatives, integrating emerging technologies, and collaborating with cross-functional teams to align technical solutions with business needs. The individual will provide strategic direction and leadership for developing and implementing innovative, scalable, and robust systems. Responsibilities include serving as a subject matter expert in a production environment, leading complex projects, and conducting quantitative, algorithmic, and theory-based analysis for various business issues such as information extraction, data mining, network design, and decision support systems. Collaboration will occur across multiple product and technology development areas, including systems architecture, hardware/software engineering, quality assurance, cybersecurity, and ORAN. A key focus is on the development and deployment of Network Functions in cloud computing environments.
—
Research
Plano, TX
1w ago
0