Senior Cybersecurity Engineer - AI

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Job Overview
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).

Job Responsibilities:

• 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
• 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 of degree might get 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
• 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

Knowledge, Skills, and Abilities:

• Deep understanding of LLM/GenAI risk: prompt injection/jailbreaks, data leakage via prompts/outputs, model misuse, privacy impacts, and data contamination.
• Ability to design guardrails and evaluations (FP/FN analysis, block/allow tuning) and to operationalize them with dashboards/KPIs.
• 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 standard methodologies 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):

• 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 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

Travel:
Travel Required (Yes/No): Yes

DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

Base Pay Range: $103,400 - $186,400

Corporate Bonus Target: 15%

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, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, ;paradox=1

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 ;br>
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