Enterprise Data Security Architect

About the role

Inspired by recognition as a Top Workplace and America’s Best Employers, Primerica seeks a Cybersecurity Security Architect to drive strategic planning, product design, and solution testing. This role is pivotal in evaluating technology acquisitions and managing integrations, requiring extensive knowledge across multiple disciplines.

Responsibilities

• Define overarching security reference architectures, patterns, standards, and blueprints that align with business objectives while incorporating secure-by-design strategies.

• Design controls to mitigate AI-specific risks: prompt injection, data poisoning, model inversion/extraction, adversarial attacks, hallucination exploitation, supply-chain attacks on models/datasets, and agentic/multi-agent system vulnerabilities.

• Define secure patterns for generative AI deployments including RAG architecture, vector databases, LLM gateways, output filtering, guardrails, red-teaming processes, and responsible AI governance.

• Leverage threat modeling frameworks such as MITRE ATLAS, OWASP, NIST AI RMF, etc.

• Architect and support enterprise data security controls: classification, encryption (at-rest, in-transit, in-use), data loss preventions (DLP), data security posture management (DSPM), access governance, and tokenization.

• Secure big data / analytics environments (data lakes, warehouses, feature stores, model registries) and ensure lineage, provenance, and integrity in data use.

• Collaborate with data engineering teams to embed privacy-preserving techniques (differential privacy, federated learning, secure multi-party computation) where appropriate.

• Assess security architecture against regulatory requirements and frameworks.

Qualifications

• Minimum requirements: 10 years of security architecture or senior security engineering experience, defining security reference architectures, patterns, standards, and blueprints; designing controls to mitigate AI-specific risks; defining secure patterns for generative AI deployments; leveraging threat modeling frameworks; architecting and supporting enterprise data security controls; collaborating with data engineering teams; assessing security architecture against regulatory requirements and frameworks.

• Preferred requirements: 3+ years of direct experience securing AI/MK/GenAI systems, data science platforms, or large-scale data environments; CISSP, CCSP, and CISM certifications; NIST Cybersecurity Framework practical experience; SABSA or TOGAF framework experience; deep knowledge of modern cloud security (Azure, AWS, GCP); container/kubernetes security; zero-trust principles; strong understanding of AI/ML concepts; proven track record performing threat modeling and risk assessments for both traditional systems and AI workloads; experience deploying and managing security tech such as DLP, SIEM systems, tokenization/masking, and compliance frameworks (GDPR, HIPAA, SOC 2); experience leading Incident Response activities such as monitoring for anomalies, investigating breaches, and lead recovery efforts while minimizing data exposure.

Benefits

• Day one health, dental, and vision insurance

• 401(k) Plan with competitive employer match

• Vacation, sick, holiday, and volunteer time off

• Life and disability insurance

• Flexible Spending Account & Health Savings Account

• Professional development

• Tuition reimbursement

• Company-sponsored social and philanthropy events

Pay

$180K - $250K USD Annual

Schedule

Hybrid Role Location: Duluth, GA

FLSA Status: Exempt (not eligible for overtime pay)