CyberSecurity Architect

Job summary

Lead cybersecurity research and engineering programs from initial research through prototyping, testing, benchmarking, recommendations, and operationalization. Coordinate AI security initiatives and product evaluations, establish measurable evaluation criteria, and communicate technical findings and recommendations to teams and stakeholders.

Job details

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

What you’ll do

Lead cybersecurity research and engineering programs from initial research through prototyping, testing, benchmarking, recommendations, and operationalization. Coordinate AI security initiatives and product evaluations, establish measurable evaluation criteria, and communicate technical findings and recommendations to teams and stakeholders.

Requirements

The role calls for strong technical knowledge of LLMs, AI agents, agentic workflows, and AI security, along with familiarity in areas such as application security, quantum and post-quantum cryptography, blockchain, and vulnerability research. It also requires experience managing complex technical programs and evaluating cybersecurity products; certifications such as CISSP, OSCP, CSSLP, or CISM are highly valued.

Listed skills

• Cross-Functional Coordination · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AI Security
• Large Language Models
• AI Agents
• Agentic Workflows
• Application Security
• AI Red Teaming
• Autonomous Penetration Testing
• Cybersecurity Research
• Technical Program Management
• Product Evaluation
• Benchmarking
• Technical Due Diligence
• Cloud Security
• Quantum Computing and Post-Quantum Cryptography
• Blockchain Security
• Cross-Functional Coordination

Job areas

• Security & Safety
• Technology
• Management & Leadership
• Engineering
• Science & Research

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