Principal Solutions Architect – AI Security

Cloud Insights; Ottawa; On-site; CAD 103,500 - 126,500; Full time

Job summary

A leading technology firm in Ottawa is seeking a Principal Solutions Architect to lead security programs for enterprise customers. This senior role demands experience in AI security governance and designing complex architectures across multi-cloud environments. Ideal candidates have over 15 years in the field and a track record of delivering impactful security solutions. The role offers a competitive salary and the opportunity to work with major organizations globally.

Qualifications

• 15+ years of experience in enterprise security architecture and AI security governance.
• Deep expertise in LLM adoption, AI risk mitigation, and cloud security.
• Principal-level leadership with proven revenue impact of $10M+.

Responsibilities

• Architect secure AI Security solutions across cloud platforms.
• Lead AI architecture design and security risk governance.
• Evaluate AI platforms and ensure compliance with regulations.

Skills

Enterprise security architecture

AI security governance

Cloud security

LLM adoption

Adversarial testing

Data loss prevention

Secure service edge

Tools

Python

Shell

SQL

REST APIs

Job description

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$115,000.00/yr - CA$115,000.00/yr

Direct message the job poster from Cloud Insights

Cloud Insights o/a 10947482 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, ServiceNow, 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 LangChain, LlamaIndex, 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 pre‑sales engagements, including executive demos, architecture workshops, PoCs, solution fit analysis, competitive displacement strategies, and C‑level technical briefings
• Troubleshoot complex multi-cloud, AI, and security issues involving networking, IAM, data protection, SaaS integrations, API security, and AI inference pipelines
• Lead executive‑level discussions with CISOs, CTOs, and Board members on AI adoption strategy, cloud risk governance, Zero Trust implementation, and secure enterprise architecture solutions
• Perform technical evaluations of AI/LLM platforms, model hosting services (AWS Bedrock, Azure OpenAI), vector databases, embedding pipelines, and secure RAG architectures
• Guide the creation of security policies for corporate AI use, including user access rules, model isolation, prompt monitoring, safe data handling, and responsible AI deployment practices
• Analyze structured and unstructured data flows to implement proper encryption, tokenization, data residency controls, classification, and audit logging across cloud and SaaS environments
• Design GDPR, HIPAA, PCI‑DSS, SOC2, PIPEDA‑compliant data protection architectures for regulated industries including financial services, healthcare, and public sector
• Partner with engineering, support, sales engineering, and customer success teams to ensure smooth delivery of AI and cloud security solutions with 95%+ customer satisfaction
• Mentor technical teams on AI safety principles, secure cloud architectures, deployment best practices, and customer‑facing technical leadership
• Drive competitive wins against major vendors (Netskope, Zscaler, McAfee) through superior architecture design and technical differentiation
• Serve as customer advocate in quarterly business reviews and strategic planning sessions

Qualifications

• 15+ years of progressive experience in Solutions Engineering, Security Architecture, Cloud Security, and Enterprise SaaS deployments
• Proven expertise with SSE, CASB, DLP, DSPM, encryption, tokenization, SaaS security, and Zero Trust security architectures
• Extensive experience evaluating and deploying LLM‑based systems, AI security controls, agentic frameworks, and responsible AI governance in enterprise production environments
• Demonstrated experience delivering security solutions for Canadian financial institutions with understanding of PIPEDA and Canadian regulatory compliance requirements
• Track record of driving $10M+ in revenue through technical leadership of enterprise security transformation programs
• Experience serving Fortune 500/Global 2000 customers across financial services, healthcare, telecom, and high‑tech sectors
• Proven success architecting solutions for organizations with 50,000+ users across multi‑cloud environments

Seniority Level

Executive

Employment type

Full‑time

Job function

Information Technology, Engineering, and Consulting

Industries

Software Development, Technology, Information and Media, and Computer and Network Security

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