CyberSecurity Architect

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