Cybersecurity Engineer, AI Platform

T-Mobile-posted 2 months ago
$79,900 - $144,100/Yr
Full-time • Mid Level
Frisco, TX
11-50 employees
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The Cybersecurity Engineer will help ensure that our software, systems and infrastructure are designed and implemented to the highest security standards. Performs technical security assessments, code reviews and vulnerability testing to highlight risk and re-mediate associated findings while helping T-Mobile teams and partners improve security. Works closely with other T-Mobile Engineers to design and build proactive methods to enhance our security posture, with a focus on building these methods through automation and AI. Builds and operates the enterprise AI security platform that makes AI adoption safe and scalable. Owns integration, deployment, and day-2 operations of controls across SaaS AI, GenAI/LLM services, and internal platforms. Implements and tunes guardrails and policies (AI discovery/policy, Need-to-Know, Agentic and Prompt Security, cloud posture), connects telemetry to SIEM/SOAR and ITSM/CMDB, and automates approvals, exceptions, and evidence capture. Works closely with Data Protection, the Cybersecurity Architects, Legal/Privacy, Procurement/Vendor Risk, and engineering teams to meet SLAs and keep the environment audit-ready.

  • Deploy, integrate, and operate AI security controls in production; create runbooks, health checks, and dashboards.
  • Implement SSO/MFA, SCIM, and RBAC for AI tools/services; enforce least-privilege and purpose-binding; automate access reviews and certification evidence.
  • Build and maintain AI security pipelines: prompt/response logging with privacy filtering, retention/expiration, and secrets/key management.
  • Contribute to AI-IR playbooks for data and model incidents (triage, scoping, containment, evidence capture); coordinate with CSOC/IR.
  • Partner with Data Protection on tagging/classification and lineage for AI training and inference data flows.
  • Perform security, compliance, and risk assessments on projects throughout project lifecycle.
  • Participate on information security review of new technologies, designs, and remediation planning efforts.
  • Collaborate and participate on identification of security needs & recommend plans/resolutions.
  • Implement, test & monitor info security improvements.
  • Maintain visibility inside & outside of info security at an Engineering professional level.
  • Interface with groups such as application support, engineering ops, finance, privacy, risk management, etc.
  • Help generate and execute information security policy life cycle throughout, including intake, creation, review, approval, implementation, publishing, communication & maintenance.
  • Help execute security projects driven by groups both internal and external to info security.
  • Familiarity with the analysis of underlying technologies that form the solution necessary for the application of threat identification, analysis, and thread model design.
  • Bachelor's Degree in Computer Science or Information Technology (required). Equivalent experience in lieu of degree may be considered.
  • 2-4 years in cybersecurity/platform engineering with hands-on deployment and operations of security controls at enterprise scale.
  • 1–3 years implementing or operating AI-adjacent controls (AI-SPM, LLM security, Shadow AI, Prompt security, etc.).
  • Built or supported data classification/tagging and lineage for AI workflows, integrating with Varonis/Obsidian or equivalent DSPM/SSPM platforms.
  • Integrated control telemetry and decisions into SIEM/SOAR and ticketing/CMDB; created dashboards for coverage, enforcement, SLA, and MTTR.
  • Strong knowledge of multiple security subject areas.
  • Some knowledge of critical security elements, threats, vulnerabilities, and safeguards.
  • Knowledge of information AI security policies and regulatory controls (per team function).
  • Strong written, verbal, and interpersonal communication skills; ability to communicate internally, upward, and cross functionally.
  • Self-motivated, able to work under pressure, and multitask.
  • Strong problem solving / troubleshooting skills.
  • Clear documentation and communication; able to teach runbooks and patterns to engineering and operations teams.
  • Bias for automation and reliability; deliver control-as-code, health checks, metrics, and self-healing where possible.
  • 2-4 years’ Experience working in a large enterprise.
  • 2-4 years’ Experience in a dedicated security engineering role.
  • Knowledge of federal & compliance regulations e.g. SOX, PCI & CPNI.
  • Knowledge of Scripting tools (Python/Perl/Shell/HTML/PHP).
  • Certified Information Systems Security Professional (CISSP and/or CCSK and/or CCSP and/or CISA/CISM certification).
  • AI and governance: IAPP AIGP or NIST AI RMF practitioner training/certificate; Cloud AI certs (AWS ML Specialty, Azure AI Engineer, Google GenAI/Professional ML Engineer) are a plus.
  • Cloud: AWS Security Specialty, Azure Security Engineer Associate (or equivalent).
  • Vendor or platform training in one or more: Reco, Knostic, S1/Prompt Security, Wiz, Varonis/Obsidian, Splunk/Sentinel/SOAR, ServiceNow.
  • Medical, dental and vision insurance.
  • Flexible spending account.
  • 401(k).
  • Employee stock grants.
  • Employee stock purchase plan.
  • Paid time off and up to 12 paid holidays.
  • Paid parental and family leave.
  • Family building benefits.
  • Back-up care.
  • Enhanced family support.
  • Childcare subsidy.
  • Tuition assistance.
  • College coaching.
  • Short- and long-term disability.
  • Voluntary AD&D coverage.
  • Voluntary accident coverage.
  • Voluntary life insurance.
  • Voluntary disability insurance.
  • Voluntary long-term care insurance.
  • Mobile service & home internet discounts.
  • Pet insurance.
  • Access to commuter and transit programs.
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