> Markdown version of [/jobs/ext/3759282-security-solutions-architect-ai-security](https://www.wearedevelopers.com/jobs/ext/3759282-security-solutions-architect-ai-security). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Security Solutions Architect - AI Security - **Company:** Apetan Consulting - **Location:** Milpitas, CA, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** AI Evaluation, Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Cloud Computing Security, Cyber Security, Identity and Access Management, Key Management, Network Segmentation, Data Logging, Large Language Models, Software Security, AI Platforms, Machine Learning Operations, Prompt Injection, Vulnerability Analysis - **Published:** October 15, 2026 - **Apply:** https://www.dice.com/job-detail/3ccc6b7f-385e-4422-8372-f0c2e2306fcb ## About the Role * Job Title: Security Solutions Architect - AI Security * Location: Milpitas, CA (Onsite) * Experience: 10+ years in cybersecurity, security architecture, or related engineering roles, * Strong experience in cybersecurity and enterprise security architecture. * Hands-on experience with GenAI, LLM security, and AI/ML architectures. * Knowledge of AI security testing, threat modeling, and red teaming. * Experience with cloud security, IAM, API security, network segmentation, and data protection. * Understanding of AI agents, MCP, tool calling, and secure model deployment. * Experience developing security architecture blueprints, frameworks, and governance standards. ## Description * Design secure AI evaluation environments, architecture blueprints, and reusable security frameworks. * Establish security controls for LLMs, AI platforms, APIs, agents, and model-serving environments. * Develop frameworks for AI model evaluation, security testing, red teaming, and vulnerability assessment. * Address risks involving prompt injection, data protection, identity and access management, MCP services, and agentic AI workflows. * Define security standards for cloud infrastructure, network isolation, secrets management, logging, monitoring, and observability. * Collaborate with AI/ML, cybersecurity, infrastructure, and engineering teams. * Establish AI security governance, team responsibilities, operational processes, and risk management practices.