#Hiring | Senior Security Architect | Post-Quantum Cryptography (PQC) | AI/ at TMS LLC
Frisco, Texas, United States -
Full Time


Start Date

Immediate

Expiry Date

03 Sep, 26

Salary

0.0

Posted On

05 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Post-Quantum Cryptography, Homomorphic Encryption, Secure Multi-party Computation, Zero Knowledge Proofs, eBPF, RASP, Confidential Computing, Trusted Execution Environments, ITDR, SPIFFE/SPIRE, TensorRT-LLM, Triton Inference Server, Kubernetes, Kyverno, Backstage IDP, FinOps

Industry

IT Services and IT Consulting

Description
Job Description Role: Senior Security Architect | Post-Quantum Cryptography (PQC) | AI/LLM Security Location: Frisco, TX (Onsite- local to TX or willing to relocate on own expenses) Duration: 12 Months Visa: All Visas acceptable This role operates at the cutting edge of frontier security engineering. You will spearhead our transition into Post-Quantum Cryptography (PQC), architect advanced privacy-preserving runtimes, implement real-time kernel-level observability, and construct highly secure AI/LLM inference pipelines. Mandatory Niche Skillset: Candidates must possess direct, demonstrable experience in the following advanced domains: ◉ Advanced Cryptography: Production-grade implementation of Homomorphic Encryption, Secure Multi-party Computation (SMPC), and Zero Knowledge Proofs (ZKP). ◉ Kernel & Runtime Defense: Deep expertise in eBPF Security Monitoring and Runtime Application Self-Protection (RASP) frameworks. Core Qualifications & Experience: ⊛ 10+ years of progressive experience in enterprise cybersecurity architecture and infrastructure engineering. ⊛ Post-Quantum Strategy: Proven track record designing and implementing Post-Quantum Cryptography (PQC) strategies alongside robust crypto-agility frameworks. ⊛ Confidential Computing: Hands-on mastery of hardware-level Confidential Computing using Trusted Execution Environments (TEEs). ⊛ Identity & Zero Trust: Experience deploying Identity Threat Detection & Response (ITDR) solutions and establishing workload identities with SPIFFE/SPIRE for service-to-service authentication. ⊛ AI Pipeline Security: Hardened experience protecting live AI inference pipelines built on TensorRT-LLM and Triton Inference Server. ⊛ Cloud-Native Governance: Extensive familiarity managing Kubernetes-native security policies via Kyverno to guarantee multi-cluster policy-as-code enforcement. ⊛ Platform Engineering Integration: Experience embedding security guardrails natively into developer workflows utilizing Backstage IDP. ⊛ Cost Governance: Ability to design security structures that remain strictly aligned with enterprise FinOps principles. Key Responsibilities: ⊛ Crypto-Agility & Evolution: Formulate and roll out enterprise-wide, future-proofed cryptographic standards resilient against quantum threats. ⊛ Advanced Defense Deployment: Architect systems using SMPC, Homomorphic Encryption, and ZKPs to protect multi-tenant enterprise workflows. ⊛ Runtime Guardrails: Oversee deployment of eBPF-based security monitoring tools and RASP configurations to track and prevent active zero-day runtime exploits. ⊛ AI Infrastructure Hardening: Partner with AI/ML infrastructure squads to guarantee total data isolation and isolation boundaries for foundational large language models. ⊛ Cross-Functional Governance: Sync with risk management, platform infrastructure, and compliance leads to ensure alignment with standard threat modeling frameworks (STRIDE, MITRE ATT&CK). Note Notes: Please instruct candidates to provide a written response to the pre-screening questions below and attach it as a separate document alongside their resume. If a candidate lacks direct experience with a specific tool or framework mentioned, they must explicitly state the alternative technologies they have utilized. Their response should clearly articulate how their experience with those alternative tools directly translates and remains relevant to the core technical requirements outlined in this Job Description. Submissions without this attached write-up will not be considered. Additional Information All your information will be kept confidential according to EEO guidelines.
Responsibilities
Lead the transition to Post-Quantum Cryptography and architect secure AI/LLM inference pipelines. Implement kernel-level observability and advanced privacy-preserving runtimes to protect enterprise workflows.
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