Lead Cybersecurity, Application Security Architect, AI Models, Frameworks & Implementation

AT&T

Quick summary

Work type
On-site
Location
Charlotte, NCAlpharetta, GAAtlanta, GABedminster, NJBothell, WADallas, TXMiddletown, NJ
Salary
$128,400–$192,600 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $174k
This role $160k
$119k most similar roles pay here $214k

This role pays less than 58% of similar roles. Most pay $147,683–$199,475 — the shaded band above. At the midpoint, this role pays about $160k versus about $174k for comparable roles.

Based on 238 similar postings.

Employer

About AT&T

AT&T is a US-based telecommunications company providing wireless, broadband, and fiber internet service along with phone and connectivity products for consumers and businesses.

AT&T currently has 71 open roles on FindRole.

Listed pay typically runs $128,400–$192,600 across 67 roles with salary data.

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At a glance

TL;DR · Lead Cybersecurity, Application Security Architect, AI Models, Frameworks & Implementation

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We are seeking a Senior MLSecOps Engineer to join our cutting-edge AI team focused on developing and securing large language model (LLM) applications and agentic workflows. In this role, you will handle prompts, invoke models, and manage plugin calls while addressing critical security issues such as prompt injection, jailbreaking, data poisoning, training-data leakage, and sensitive data exposure. You will work with advanced technologies including Python, Kubernetes, and various AI frameworks to ensure robust DevSecOps practices for our innovative products. This role requires expertise in machine learning security, cloud infrastructure, and continuous integration/continuous deployment (CI/CD) pipelines. Ideal candidates should have a strong background in cybersecurity and be passionate about the intersection of AI and security at scale.

Skills

Python Docker Kubernetes Terraform AWS CI/CD Prometheus Grafana PostgreSQL Git GitHub Jenkins

What you'll do

  • Develop and implement security measures for LLM-based applications.
  • Handle prompts securely to prevent jailbreaking and data poisoning.
  • Monitor and mitigate risks of training-data leakage and sensitive data exposure.
  • Involve in the continuous improvement of agentic workflows security.
  • Ensure compliance with MLSecOps/DevSecOps practices throughout AI projects.

What we're looking for

  • Experience in MLSecOps and DevSecOps for AI applications.
  • Strong understanding of prompt handling and model invocation techniques.
  • Proficient in managing agentic workflows and plugin/tool calling.
  • Knowledge of security issues like jailbreaking, data poisoning, and training-data leakage.
  • Ability to handle sensitive data exposure and ensure data integrity.
  • LLM-based application development experience required.
  • Familiarity with continuous integration and deployment practices for AI systems.

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