Security Architect/Engineer

Mindlance
Minneapolis, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Minneapolis, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Software as a Service
Cloud Computing Security
Computer Security
Information Leak Prevention
Identity and Access Management
Key Management
Open Web Application Security
Google Cloud Platform
Large Language Models
Software Security
Api Gateway
Terraform

Job description

Perform security architecture review and GenAI threat modeling for GenAI, and agentic AI platforms and use cases. Identify and mitigate risks such as prompt injection, jailbreak, data leakage, model poisoning, vector or embedding attacks, 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 IAM models, secrets management, API security, and cloud security controls (Azure, Google Cloud Platform). Produce high quality threat models, architecture review reports, and mitigation recommendations. Collaborate with engineering teams to gather architecture artifacts and drive security improvements.

Requirements

8+ years in cybersecurity, security architecture, application security, or threat modeling. Hands on experience conducting threat models, including for GenAI workloads. Strong cloud security expertise in Azure, Google Cloud Platform, 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. Strong communication skills and ability to translate technical risks into practical guidance. Preferred Qualifications Experience in regulated industries (financial services preferred). Experience with ThreatModeler or similar tooling. Certifications such as CISSP, CCSP, GIAC, or cloud provider security certifications. Experience with Terraform, Azure/Google Cloud Platform Policies, or OPA/Rego for IaC or Client workflows.

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