Senior Security Architect (GenAI) - NC
$90 - $102 per hourApex Systems
Job Title: Senior GenAI Security Architect Location: Charlotte, NC (Hybrid) Contract Length: 12 months (conversion possible) Pay Rate: $90/hr - $102/hr Note: We are unable to consider C2C or third-party submissions. Role Overview In this assignment, you will consult as an expert to develop and influence initiatives for complex business and technical needs across Engineering. This role involves strategizing on the resolution of unique challenges, delivering long-term, large-scale solutions that require vision, innovation, and advanced analytical thinking. You will provide expertise to senior leadership on innovative Engineering business solutions and strategically engage with personnel. Key Responsibilities
- Perform security architecture reviews and threat modeling for GenAI and agentic AI platforms and use cases.
- Identify and mitigate risks such as prompt injection, jailbreak, data leakage, model poisoning, and third-party model risks.
- Conduct secure architecture reviews for GenAI platforms including Google Vertex AI, AgentSpace, Copilot Studio, and internal LLM services.
- Define and validate security requirements aligned with OWASP LLM Top 10, OWASP Agentic Application Security, MITRE ATLAS, and internal GenAI security standards.
- Review Identity and Access Management (IAM) models, secrets management, API security, and cloud security controls for Azure and GCP.
- Produce threat models, architecture review reports, and mitigation recommendations.
- Collaborate with engineering teams to gather architecture artifacts and drive security improvements.
- 8+ years of experience in cybersecurity, security architecture, application security, or threat modeling.
- A minimum of 5 years of experience as a Security Engineer or Security Architect.
- At least 1 year of experience with GenAI security.
- Hands-on experience conducting threat models, including for GenAI workloads.
- Cloud security expertise in Azure, GCP, or AWS.
- Experience securing LLMs, RAG pipelines, API gateways, SaaS GenAI services, or agentic systems.
- Familiarity with GenAI threat mitigations such as prompt filtering, DLP, vector store protection, adversarial input detection, and model hardening.
- Demonstrated communication skills and the ability to translate technical risks into practical guidance.
- Experience in regulated industries, particularly financial services.
- Experience with ThreatModeler or similar tooling.
- Certifications such as CISSP, CCSP, GIAC, or cloud provider security certifications.
- Experience with Terraform, Azure/GCP Policies, or OPA/Rego for IaC or PaC workflows.
Vacancy posted 10 hours ago
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