Job Description

MUST HAVES:

3+ years of experience designing, developing, and deploying AI-powered solutions and automation workflows.
Hands-on experience implementing Retrieval-Augmented Generation (RAG) architectures, vector databases and prompt engineering.
Expert proficiency in Python for AI/ML workflows, automation, and data frameworks.
Experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and
Experience building or integration APIs and services (e.g., FastAPI, Flask, REST).
Experience with the AI development lifecycle.
3+ years of experience in cyber security solutions and next-generation network security, with a focus on hands-on implementation, configuration, and troubleshooting.
Bachelors degree in computer science, engineering, cyber security, or a related field.

Nice To Have:

Hands-on experience building LLM-based assistants and agents that support SecOps

Hands-on experience with SOAR playbook design, bi-directional integrations, and AI operations (AIOps)-driven incident response.
Familiarity with cloud platforms and cloud security architecture (e.g., Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP))
Experience maintaining security content (e.g., dashboards, playbooks) across shared platforms.

Experience and Skill Set Requirements - Total of 100%

AI, Automation and Autonomous Security – 45%

3+ years of experience designing, developing, and deploying AI-powered solutions and automation workflows.
Hands-on experience building LLM-based assistants and agents that support SecOps.
Hands-on experience implementing Retrieval-Augmented Generation (RAG) architectures, vector databases and prompt engineering.
Expert proficiency in Python for AI/ML workflows, automation, and data frameworks.
Experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and
Experience building or integration APIs and services (e.g., FastAPI, Flask, REST).
Experience with the AI development lifecycle.
Understanding of AI governance, explainability, and ethical deployment of autonomous systems.

Cyber Security Architecture and Security Operations – 40%

3+ years of experience in cyber security solutions and next-generation network security, with a focus on hands-on implementation, configuration, and troubleshooting.
Hands-on experience with SOAR playbook design, bi-directional integrations, and AI operations (AIOps)-driven incident response.
Proficiency in applying data science and ML to cyber security telemetry, including anomaly detection, scoring algorithms, and observability dashboards.
Experience with security telemetry and logs (e.g., alerts, events, incidents).
Experience with frameworks such as MITRE ATT&CK and NIST Cybersecurity Framework (CSF) v2.
Familiarity with cloud platforms and cloud security architecture (e.g., Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP)).

Communications and Stakeholder Engagement – 10%

3+ years of experience presenting to senior and executive management and stakeholders.
3+ years of experience coordinating and leading complex technical work with multiple IT teams, and stakeholders.
3+ years of experience preparing written materials (e.g., status reports, recommendations).
Experience maintaining security content (e.g., dashboards, playbooks) across shared platforms.
Experience delivering cyber security upskilling training to IT and security teams.

Relevant Degrees / Industry Certifications – 5%

Bachelors degree in computer science, engineering, cyber security, or a related field.
Postgraduate education in AI, data science, or cyber security is an asset.
Relevant AI or cyber security certifications are beneficial but not mandatory

RQ09519 - Technology Architect