Security Automation & AI Engineer

Main purpose of the position

The Security Automation & AI Engineer serves as the technical lead for security process automation and AI-driven transformation initiatives within Information Security. The role identifies, designs, implements and continuously improves automation solutions to increase operational efficiency, strengthen governance processes, and improve the quality and consistency of security services.

A key focus is developing AI-enabled solutions for audit responses, customer security questionnaires, evidence collection, control assessments, risk reporting, and compliance activities. The role uses Microsoft Copilot Studio, Power Platform, Microsoft 365 and Azure services, integrating them with Jira, GRC solutions, knowledge repositories and security management tools.

The successful candidate acts as an independent subject matter expert who translates complex business and security requirements into scalable technical solutions. Working with Security Governance, Risk, Compliance, Audit, Operations and Engineering teams, the role helps establish modern automation capabilities, improve security-process data quality, and drive adoption of AI and automation.

What you’ll do

• Identify, analyse and prioritise security, governance, risk and compliance processes for automation and AI enablement.
• Design, build and maintain automation solutions using Microsoft Copilot Studio, Power Automate, Power Platform and Azure services.
• Develop AI-assisted workflows for customer security questionnaires, audit requests, control assessments and compliance reporting.
• Design and implement integrations between Jira, GRC platforms, Microsoft 365, SharePoint, Confluence, security tools and other enterprise systems.
• Build and maintain APIs, connectors and data pipelines for automated information exchange across platforms.
• Automate evidence collection, control monitoring, workflow approvals, notifications and reporting.
• Develop dashboards and management reporting to measure operational efficiency, control effectiveness and automation benefits.
• Embed appropriate security, privacy, governance and quality controls into AI and automation solutions.
• Evaluate emerging AI technologies and identify opportunities to increase productivity and improve security operations.
• Provide technical guidance and knowledge transfer on automation and AI best practices.
• Collaborate with business stakeholders, auditors, technology teams and vendors to deliver initiatives from concept through production deployment.
• Own continuous improvement, support and optimisation of deployed automation and AI solutions.

Key qualifications

• Bachelor’s degree in Computer Science, Cybersecurity, Software Engineering, Information Systems or a related discipline.
• Minimum 4 years of experience in Security Automation, Software Engineering, AI Engineering, DevSecOps, Security Operations or related technology roles.
• Hands-on experience with Microsoft Copilot Studio, Power Platform, Power Automate and Microsoft 365 services.
• Strong experience integrating enterprise platforms through APIs, webhooks and modern integration technologies.
• Proficiency in Python and/or PowerShell scripting for automation and orchestration.
• Solid knowledge of cybersecurity, risk management, compliance and audit processes.
• Experience with enterprise workflow platforms such as Jira and their integration with other business or security systems.
• Experience with structured and unstructured data sources, knowledge repositories and document management platforms.
• Strong analytical and problem-solving skills focused on measurable business outcomes.
• English proficiency, written and spoken.

Nice to have

• Experience with Azure AI Foundry, Azure OpenAI, Azure Functions, Logic Apps or Microsoft Graph.
• Experience implementing or integrating GRC platforms, risk management solutions or compliance management tools.
• Knowledge of ISO 27001, SOC 2, NIST CSF, NIS2, DORA and related security or regulatory frameworks.
• Experience with Retrieval-Augmented Generation (RAG), AI agents, vector databases and enterprise AI governance.
• Experience with Power BI, SQL, Dataverse and data analytics platforms.
• Microsoft, Azure, Security or AI-related professional certifications.
• Knowledge of Agile delivery methodologies and experience in international enterprise environments.

Personal skills

• Independent, proactive and comfortable taking ownership in ambiguous environments.
• Strong analytical and critical-thinking skills; able to challenge processes and identify automation and optimisation opportunities.
• Effective communicator and trusted advisor across Security, Technology, Risk, Audit and Business functions.
• Continuous-learning mindset and passion for emerging technologies, AI innovation and process improvement.