RQ09519 - Technology Architect

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