Senior Cybersecurity Engineer - AI Data

T-Mobile-posted 2 months ago
$103,400 - $186,400/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 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. Implements and operates the data-layer controls that make AI adoption safe at enterprise scale. Owns Need-to-Know enforcement and access design for AI tools/workflows (SSO/MFA, SCIM, RBAC), drives classification/tagging and lineage, and turns data security policies into enforceable guardrails for AI datasets. Builds automation and policy-as-code to keep approvals audit-ready and fast, integrates telemetry with SIEM/SOAR and ITSM/CMDB, and partners daily with Data Protection, the Cybersecurity Architects, Legal/Privacy, Procurement/Vendor Risk, and engineering teams. Supports PoV→purchase→implementation for new AI Security tools and aligns with AI-SPM discovery signals to close shadow-AI gaps.

  • Participates in AI use-case intake & security reviews; document decisions, compensating controls, and audit evidence.
  • Designs and implements Need-to-Know (NTK) data policies for AI datasets and tools; translate business/legal requirements into solution rules and RBAC models.
  • Engineer SSO/MFA, SCIM, and RBAC for AI SaaS and internal AI services; ensure least-privilege, purpose-binding, and auditable approvals.
  • Drives data classification/tagging and lineage; define classification rules, labels, and inheritance for AI training/inference data flows.
  • Integrates AI-SPM discovery findings with data controls to identify shadow-AI use and enforce gating/exception workflows.
  • Participates in secure design reviews and threat modeling for data-centric AI use cases; document controls and compensating measures.
  • Maintains high-quality documentation (policies, standards, runbooks) and coach teams on using guardrail patterns correctly.
  • 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.
  • Collaborate 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.
  • Implemented SSO/MFA, SCIM, RBAC and Need-to-Know models for AI workflows; partnered with Data Protection on Varonis classification and lineage.
  • 2+ years operating DSPM/SSPM or AI-SPM controls, including policy design, tuning, and exception handling.
  • Built classification/tagging and lineage for sensitive datasets used in AI training/inference; integrated data controls with pipelines and storage services.
  • Experience with incident handling for Security breaches.
  • 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.
  • Working knowledge of LLM/GenAI data risks (prompt leakage, training data contamination, unintended memorization) and mitigations at the data layer.
  • Ability to design and tune policies with FP/FN analysis; drive measurable improvements in coverage and enforcement with clear KPIs.
  • Deep understanding of LLM/GenAI risk: prompt injection/jailbreaks, data leakage via prompts/outputs, model misuse, privacy impacts, and data contamination.
  • Automation mindset: build control-as-code, integrate with pipelines, and prove effectiveness with measurable outcomes.
  • Medium to advance knowledge of Scripting tools (Python/Perl/Shell/HTML/PHP).
  • Knowledge of federal & compliance regulations e.g. SOX, PCI & CPNI.
  • Strong presentation skills to large and small audiences.
  • In-depth knowledge of security best practices in large-scale environments.
  • Strong problem solving / troubleshooting skills.
  • Self-motivated and able to work under tight timelines.
  • Always act with tact and integrity, and collaborate with a variety of individuals in a positive and productive manner.
  • Strong verbal and communication skills with diverse cross functional groups & the ability to present effectively to small & large groups.
  • Knowledge of information security policies and regulatory controls (per team function).
  • Demonstrable knowledge of current technological trends and developments in info security.
  • Ability to plan, organize and prioritize tasks to complete independently; Ability to work under pressure and meet tight timelines.
  • Subject matter expert in many facets of network & information security, including Firewall policy design, SSL Certificate management, vulnerability analysis & mitigation.
  • 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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