AI Security Architect

Role Overview Regional Cybersecurity Consultancy Firm is building an

AI-driven penetration testing platform

that combines

agentic AI systems, security tool orchestration, and vulnerability intelligence

to augment security professionals and automate parts of the offensive security lifecycle.

We are seeking an

AI Security Architect / Lead (Hands-on)

who will design and build the

core architecture of our AI pentesting platform . This is a

foundational technical leadership role

responsible for translating real-world penetration testing workflows into scalable AI systems.

The ideal candidate is a

strong engineer and system architect

who is passionate about applying

AI to offensive security problems , and who is comfortable building prototypes, defining architecture, and leading a small engineering team.

This role will work closely with our

in-house penetration testing experts

to transform their knowledge into an

AI-assisted security platform .

Key Responsibilities AI Platform Architecture Design and lead the architecture of an

AI-driven pentesting platform , including: AI reasoning systems for vulnerability analysis and attack path generation agentic workflows for orchestrating multi-step security tasks integration of security tools and vulnerability intelligence scalable infrastructure for AI-powered security workflows Define system components such as: agent orchestration knowledge retrieval systems security tool integration layers AI evaluation and observability frameworks.

AI System Development (Hands-on) Actively design and implement key components of the AI platform including: agentic AI workflows for security tasks vulnerability triage and reasoning systems exploit reproduction assistance workflows retrieval-augmented generation (RAG) pipelines for security intelligence Build prototypes and iterate rapidly to validate architectural decisions.

Security Workflow Modeling Collaborate with penetration testers to model and automate real-world offensive security workflows such as: reconnaissance enumeration vulnerability discovery exploit validation security reporting Translate pentesting expertise into

structured AI workflows and knowledge systems .

Security Tool Orchestration Design systems that allow AI agents to interact with and orchestrate security tools such as: network scanners web vulnerability scanners enumeration tools exploit frameworks custom internal security tools Develop pipelines that correlate outputs from multiple tools to generate contextualized vulnerability insights.

Security Intelligence & Knowledge Systems Design pipelines that ingest and structure security knowledge sources including: vulnerability databases (CVE/NVD) exploit repositories security advisories internal pentest reports Develop retrieval systems that allow AI agents to leverage security intelligence effectively.

AI Evaluation & Observability Establish evaluation frameworks to measure AI system performance including: benchmark test datasets quality and reasoning evaluation error analysis and model improvement workflows Implement observability for AI systems including: tracing performance monitoring cost and latency analysis.

Team Leadership & Product Development Serve as the

technical lead for the AI pentesting initiative , including: mentoring AI engineers defining technical roadmaps reviewing architecture and code collaborating with product and security teams. Help build and grow the

AI engineering capability within the organization .

Technical Requirements AI / LLM Engineering Strong experience building AI systems using modern LLM technologies including: agent-based systems tool/function calling multi-step reasoning workflows retrieval-augmented generation (RAG) Experience with frameworks such as: LangChain AutoGen CrewAI or custom orchestration frameworks.

Software Engineering Strong software engineering skills including: Python programming API design modular system architecture testing and CI/CD version control and code reviews. Ability to design and build

production-grade systems , not only prototypes.

Security Knowledge Working knowledge of cybersecurity and offensive security concepts including: OWASP Top 10 web application vulnerabilities authentication systems (OAuth/OIDC) vulnerability management workflows Experience with security tools or penetration testing workflows is a strong advantage.

Cloud & Infrastructure Experience deploying and operating systems on cloud platforms such as: AWS Azure Google Cloud Experience with: Docker Kubernetes scalable service deployment infrastructure-as-code.

Data & Retrieval Systems Experience building data pipelines and knowledge systems including: vector databases search systems embedding models indexing and retrieval systems.

Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Cybersecurity, or related fields. Minimum

4–7 years of experience in software engineering, AI/ML engineering, or security engineering , with demonstrated experience building complex systems. Proven ability to design and implement

end-to-end technical systems or platforms . Experience working in

fast-moving engineering environments or startups

is highly valued.

Preferred Qualifications Experience in penetration testing, security research, or offensive security automation. Experience integrating security tools or building security automation systems. Experience building

agent-based AI systems or AI copilots . Participation in security competitions, bug bounty programs, or security research.

Why Join This Role You will be leading the creation of

next-generation AI security technology , combining: artificial intelligence offensive security expertise real-world penetration testing knowledge to build a platform that

augments security professionals and transforms vulnerability discovery .

This role offers the opportunity to

define the architecture of a new AI product

and work closely with one of the region’s strongest penetration testing teams.