Senior Cybersecurity Engineer - AI Data

T-Mobile • Frisco, TX

83d • $103,400 - $186,400

About The Position

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.

Requirements

• Bachelor's Degree, Computer Science, or Information Technology (required). Relevant experience in lieu of 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Telecommunications
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees