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Cybersecurity Engineer, AI Platform
Cybersecurity Engineer, AI PlatformT-Mobile USA, Inc. • Frisco, TX, United States
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Cybersecurity Engineer, AI Platform

Cybersecurity Engineer, AI Platform

T-Mobile USA, Inc. • Frisco, TX, United States
16 days ago
Job type
  • Full-time
  • Part-time
Job description

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!

Job Overview

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.

Job Responsibilities :

  • 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.
  • Performs security, compliance, and risk assessments on projects throughout project lifecycle.
  • Participates on information security review of new technologies, designs, and remediation planning efforts.
  • Collaborates and participates on identification of security needs & recommends plans / resolutions. Implements, tests & monitors info security improvements.
  • Maintains visibility inside & outside of info security at an Engineering professional level. Interfaces with groups such as application support, engineering ops, finance, privacy, risk management, etc.
  • Helps to generate and execute information security policy life cycle throughout, including intake, creation, review, approval, implementation, publishing, communication & maintenance.
  • Helps 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. The threat model depicts trust boundary, threat agent(s), threat vector(s), and safeguard(s) necessary to protect person, asset, data, and T-Mobile brand.
  • Also responsible for other Duties / Projects as assigned by business management as needed.

Qualifications : Education :

Bachelor's Degree, Computer Science, or Information Technology (required). Equivalent experience in lieu of degree may be considered.

Experience :

  • 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; ability to interface with cross-functional team members to gain support required to accomplish assignments; able to build coalitions.
  • Always act with tact and integrity, and interface with a variety of individuals in a positive and productive manner.
  • 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.
  • 2-4years’ 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).
  • License / Certification (Preferred) :

  • 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.
  • We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting transparency in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! Our team is dynamic where no day is the same, and we are diverse and inclusive passionate about growth and transformation. If you're up to the challenge, apply today!

  • At least 18 years of age
  • Legally authorized to work in the United States
  • Travel :

    Travel Required (Yes / No) : Yes

    DOT Regulated :

    DOT Regulated Position (Yes / No) : No

    Safety Sensitive Position (Yes / No) : No

    Base Pay Range : $79,900 - $144,100

    Corporate Bonus Target : 15%

    The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.

    At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and / or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and / or team performance. To find the pay range for this role based on hiring location, click here .

    At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - 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, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com .

    Never stop growing!

    As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder-it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth-and we applaud it. You’re unstoppable!

    T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

    Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500 . Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

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