T-Mobile · 2 days ago
Senior Cybersecurity Engineer - AI Data
Frisco, TX
Full-time
Hybrid
Mid, Senior Level
$103K/yr - $186K/yr
4+ years expT-Mobile is a company that values its employees and invests in their growth. The Senior Cybersecurity Engineer will be responsible for ensuring the security of software, systems, and infrastructure, focusing on AI and automation to enhance security posture while collaborating with various teams to address vulnerabilities.
InternetMobileTelecommunicationsWireless
Responsibilities
Participates 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
Experience with implementation of various threat modeling approaches pertaining to one or more of the following STRIDE, PASTA, TRIKE, ATTACK TREE, DREAD, KILL CHAIN, CAPEC, Mobile Application threat model, Cyber Threat Tree, and data flow diagram
Experience 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
Subject matter expertise in LLM, Generative AI, and cloud-native practices
Qualification
Required
Bachelor's Degree, Computer Science, or Information Technology (required). Relevant experience in lieu off degree might be considered
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, and other topics as assigned
At least 18 years of age
Legally authorized to work in the United States
Preferred
Privacy/AI Governance: IAPP AIGP, CIPT or CIPP/US; 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 a plus
Benefits
401(k)
Annual stock grant
Employee stock purchase plan
Free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Employee stock grants
Paid time off
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
Company
T-Mobile
T-Mobile is a telecommunications company that provides wireless communication services, including mobile phone and internet services. It is a sub-organization of Deutsche Telekom.
10001+ employees
H1B Sponsorship
T-Mobile has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (533)
2024 (457)
2023 (433)
2022 (674)
2021 (522)
2020 (320)
Funding
Current Stage
Public CompanyTotal Funding
$15.37B2025-10-06Post Ipo Debt· $2.8B
2024-09-23Post Ipo Debt· $2.5B
2024-01-09Post Ipo Debt· $3B
Leadership Team
John Saw
President of Technology, Chief Technology Officer
Peter Osvaldik
EVP & CFO
Recent News
2025-12-31
2025-12-27
2025-12-26
Company data provided by crunchbase