T-Mobile-posted 2 months ago
$103,400 - $186,400/Yr
Full-time • Mid Level
Frisco, TX
11-50 employees

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 remediate 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. Collaborate with Engineering & Operations Teams to address security vulnerabilities found via PSIRTs, scans or breaches. Also, drive and support network security best practices. Leads the technical implementation of the AI Security program and serves as the engineering point for secure-by-design AI adoption across the enterprise. Owns the AI intake/security review process, threat modeling, and translation of policy into enforceable controls for SaaS AI, GenAI/LLM, and internal AI services. Converts Proof‑of‑Value outcomes for AI and Data Security solutions into production controls; integrates telemetry with SIEM/SOAR and ITSM/CMDB for operations and auditability. Partners with Data Protection, the Cybersecurity Syndicate, Legal/Privacy, Procurement/Vendor Risk, and platform/application teams. Mentors engineers, publishes standards/guardrails (logging, purpose‑binding, kill‑switch, secrets handling), and drives measurable outcomes (coverage, enforcement, MTTR, approval SLA, false‑positive rates).

  • Lead AI use‑case intake & security reviews; document decisions, compensating controls, and audit evidence.
  • Perform and guide threat modeling for AI/data/agent workflows; translate findings into technical requirements for gateways, guardrails, and NTK enforcement.
  • Define, publish, and maintain AI security standards/guardrails (prompt/log retention, purpose‑binding, kill‑switch, secrets handling, retention/expiration).
  • Engineer identity & access controls (SSO/MFA, SCIM, RBAC) that enforce Need‑to‑Know; coordinate with Data Protection on Data Security Posture Management and permission awareness.
  • Operationalize runtime protections: deploy/monitor AI and Data Security frameworks, AI discovery & policy enforcement; integrate Prompt Security and cloud and SaaS posture signals (e.g., Wiz).
  • Leads security, compliance, and risk assessments on projects throughout project lifecycle.
  • Improves process efficiency by creating and implementing creative and sustainable changes to existing deployment methodologies.
  • Leads the identification of security needs & recommends plans/resolutions.
  • Implements, tests & monitors info security improvements.
  • Interfaces with groups such as application support, engineering ops, finance, privacy, risk management, etc.
  • Leads information security policy lifecycle throughout, including intake, creation, review, approval, implementation, publishing, communication & maintenance.
  • Executes security projects driven by groups both internal and external to info security.
  • Mentors, peers and junior team members in security technologies, enterprise solution design and facilitation and effective customer interaction.
  • Bachelor's Degree in Computer Science, or Information Technology (required).
  • 4-7 years’ experience in info security technology or related field.
  • 2+ years of experience working with Generative AI models, AI APIs (such as OpenAI, Hugging Face, or similar), and AI / ML integration in software development.
  • Led rollouts and production hardening for AI Security platforms such as Reco (AI‑SPM/SaaS discovery), Knostic (NTK policies), S1/Prompt Security (endpoint guardrails), or equivalent tools.
  • Implemented SSO/MFA, SCIM, RBAC and Need‑to‑Know models for AI workflows; partnered with Data Protection on Varonis classification and lineage.
  • Experience with incident handling for Security breaches.
  • Expert in security subject areas.
  • 2-4 years’ Technical Project Management experience with high level design architecture, security technologies, Networking, web services and SOA.
  • Understanding of encryption, obfuscation, tokenization technologies.
  • AI‑focused/Governance: IAPP AIGP (AI Governance Professional) or equivalent NIST AI RMF practitioner training/certificate.
  • Cloud/AI: AWS Certified Machine Learning – Specialty, Microsoft Azure AI Engineer Associate, Google Cloud GenAI or Professional ML Engineer (or equivalent).
  • CISSP and/or CCSK and/or CCSP and/or CISA/CISM certification.
  • 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.
  • Access to commuter and transit programs.
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