Principal Solutions Architect – AI Security

Principal Solutions Architect – AI Security 1 day ago – Be among the first 25 applicants This range is provided by Cloud Insights. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range CA$/yr - CA$/yr Direct message the job poster from Cloud Insights Cloud Insights o/a Canada Inc. is expanding our Security Architecture practice and we’re looking for a Principal Solutions Architect to lead high-impact security programs for major enterprise customers across Canada and globally. This role is for a senior technical leader experienced in designing and governing complex security architectures across cloud, network, identity, data protection, and enterprise SaaS environments. You will work directly with Fortune 500 and Global 2000 organizations, consulting with CISOs, CTOs, and technical leadership teams to secure large-scale, multi-cloud environments. The successful candidate will lead architecture design, solution governance, and end-to-end technical execution for AI Security & Governance, Secure Service Edge (SSE), Data Loss Prevention (DLP), Data Security Posture Management (DSPM), and Cloud Security solutions serving Fortune 500 and Global 2000 enterprise customers. The candidate will work with engineering teams, AI researchers, product managers, and enterprise customers to design secure AI architectures, implement model guardrails, and integrate AI safety controls across multi-cloud environments and enterprise SaaS ecosystems. This role requires a unique and highly specialized combination of expertise: 15+ years of progressive experience in enterprise security architecture and AI security governance Deep expertise in LLM adoption, AI risk mitigation, adversarial testing, cloud security, and agentic frameworks Proven track record delivering security solutions for Canadian financial institutions and understanding of Canadian regulatory requirements (PIPEDA) Principal-level leadership with C-suite advisory capabilities and demonstrated revenue impact ($10M+) Enterprise-grade solution architecture experience serving organizations with 50,000+ users across regulated industries The role demands the ability to evaluate AI models, secure multi-agent workflows, perform AI red teaming, and guide enterprises on responsible AI deployment while maintaining compliance with Canadian and international data protection regulations. Responsibilities Architect secure and scalable AI Security, SSE, CASB, DLP, DSPM, and Cloud Security solutions across AWS, Azure, GCP, and major SaaS platforms (Salesforce, Microsoft 365, Google Workspace, Service Now, Box) Lead enterprise AI architecture design, including LLM security, model guardrails, prompt validation, secure RAG patterns, and AI risk governance frameworks aligned with NIST AI RMF and OWASP LLM Top 10 Perform AI red teaming, adversarial prompt testing, and vulnerability analysis to identify model manipulation, jailbreak attempts, unsafe responses, hallucination risks, and data leakage vulnerabilities Define runtime guardrails for AI/LLM applications including output filtering, hallucination detection, context isolation, access controls, and inference-time DLP enforcement Evaluate and secure AI/agent platforms such as Lang Chain, Llama Index, CrewAI, AutoGPT, ensuring safe tool use, sandboxing, chain-of-thought protection, and multi-agent workflow security Design and document complete AI and cloud reference architectures, solution blueprints, integration patterns, and implementation guidelines for enterprise customers Conduct architectural assessments of customer environments, identifying gaps in security, compliance, data governance, AI usage workflows, and cloud adoption readiness Develop and maintain automation scripts in Python, Shell, SQL, and REST APIs for AI data pipelines, cloud monitoring, security orchestration, logging, and operational efficiency Collaborate with engineering teams to influence product roadmap for AI governance features, LLM safety controls, cloud security enhancements, and analytics capabilities based on field insights and competitive intelligence Provide deep technical leadership during…