Role: CyberSecurity Architect
Location: North York, ON (Hybrid)
Duration: Contract
Required Experience/Certification
Research papers or presentations at recognized cybersecurity, AI, or systems forums; AI red teaming; autonomous penetration testing; agent security; AI-native security tooling; cybersecurity startup, founder, or early-stage product experience; experience presenting or pitching to venture capital, corporate venture teams, accelerators, or investment stakeholders; patents; open-source security projects; vulnerability research; advanced AI frontier models for cybersecurity; or other demonstrated technical innovation.
Certifications: CISSP, OSCP, CSSLP, CISM, or equivalent are highly valued.
Top Skills:
- AI & Emerging Cybersecurity Technology Expertise
o Strong technical knowledge of LLMs, AI agents, agentic workflows, tool calling, and AI security frameworks.
o Familiarity across advanced domain areas like Application Security, quantum/PQC, blockchain, AI red teaming, and vulnerability research.
- Technical Program & Lifecycle Management
§ End-to-end management of complex technical workstreams across the full lifecycle: research → prototype → testing → benchmarking → recommendation → operationalization.
§ Proven ability to establish program roadmaps, dependencies, deliverables, success metrics, and manage cross-functional execution.
- Product Evaluation, Benchmarking & Technical Due Diligence
o Experience conducting hands-on technical evaluation, testing, and benchmarking of cybersecurity products, platforms, vendor claims, and early-stage startups.
o Ability to assess security effectiveness, architectural fit, scalability, and integration complexity to deliver clear enterprise recommendations.
Key Responsibilities:
- Lead the planning, coordination, and execution of programs to develop agentic AI security harnesses, prototypes, and proof-of-concepts for new cybersecurity capabilities.
- Establish program roadmaps, priorities, milestones, dependencies, deliverables, and success criteria for cybersecurity research and engineering initiatives.
- Coordinate research and experimentation across AI Security, Agentic AI, Application Security, quantum/PQC, blockchain, and other emerging technologies.
- Work closely with technical teams developing and integrating AI agents, LLMs, APIs, security tools, automation frameworks, cloud environments, containers, and security test environments.
- Translate cybersecurity research hypotheses and emerging technology opportunities into structured technical workstreams, experiments, POCs, and evaluation plans.
- Manage the lifecycle of initiatives from: research → prototype → testing → benchmarking → recommendation → operationalization.
- Coordinate the development and evaluation of AI Security Harness capabilities, including agentic security workflows and AI-enabled security automation.
- Establish clear technical requirements, evaluation criteria, benchmarks, and success measures for prototypes and emerging cybersecurity capabilities.
- Lead and coordinate cybersecurity product and startup evaluations through hands-on technical testing performed by engineering and research teams.
- Establish structured approaches for evaluating cybersecurity products, technologies, and startups based on:
o Security effectiveness
o Technical capability
o Scalability
o Integration complexity
o Architecture
o Operational applicability
o Enterprise applicability
- Coordinate technical due diligence and independent validation of vendor claims and product capabilities.
- Facilitate product demonstrations, technical deep dives, proof-of-concepts, architecture reviews, and evaluation sessions.
- Work with engineering and research teams to identify product limitations, technical risks, security concerns, and integration requirements.
- Drive clear technical recommendations and decision materials based on research, benchmarks, testing, and product evaluations.
- Maintain visibility into cybersecurity products and technologies progressing through research, evaluation, POC, recommendation, and operationalization.
- Coordinate research and engineering initiatives involving AI red teaming, autonomous penetration testing, agent security, and AI-native security tooling.
- Support experimentation with advanced AI and cybersecurity models and their applicability to cybersecurity use cases.
- Identify dependencies, technical blockers, risks, and resource requirements and drive cross-functional resolution.
- Coordinate collaboration across cybersecurity engineering, security research, Application Security, architecture, infrastructure, cloud, and other technical teams.
- Help transition successful research prototypes and cybersecurity capabilities toward operational and enterprise use.
- Establish program metrics that measure prototype progress, technical evaluation results, cybersecurity effectiveness, product evaluation outcomes, and operational readiness.
- Develop and maintain technical program documentation, research summaries, evaluation findings, decisions, risks, and recommendations.
- Prepare and present technical findings, program status, demonstrations, and recommendations to engineering teams, cybersecurity leadership, and other stakeholders.
- Coordinate engagement with cybersecurity vendors, startups, accelerators, venture or investment stakeholders, where appropriate.
- Ensure research findings, prototypes, source code, evaluation artifacts, and technical knowledge are documented and transferred appropriately.
- Promote disciplined experimentation, measurable outcomes, and repeatable evaluation methodologies across cybersecurity research programs.
Thank you
Praveen
praveen.s@themesoft.com
