Senior Cybersecurity Engineer - AI Data

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Job Responsibilities:

• Participates AI usecase 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

Qualifications:

Education:

• Bachelor's Degree, Computer Science, or Information Technology (required). Relevant experience in lieu off degree might be considered.

Experience:

• 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 NeedtoKnow 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

Knowledge, Skills, and Abilities:

• 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 controlascode, 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.

License/Certification (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

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

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, 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.

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