In this role you will design and build AI-powered cyber defense solutions for a large public sector environment. You’ll work with cross-functional teams to prototype AI assistants, copilots, and agent-based workflows that boost SOC productivity. You will apply OpenAI technologies, RAG, and prompt engineering to automate investigations and improve detection and response. This is a mission-driven opportunity to shape AI-enabled security operations at scale while upholding Responsible AI and security governance.
Responsibilities
Design and build AI-powered solutions using OpenAI technologies and APIs
Develop proof-of-concepts and prototypes for SOC and cyber security operations
Create AI assistants, copilots and agent-based workflows to enhance analyst productivity
Implement Retrieval-Augmented Generation (RAG) solutions with enterprise knowledge sources
Apply prompt engineering to optimize AI performance and accuracy
Integrate AI capabilities with SIEM, SOAR and other cyber security platforms
Establish evaluation frameworks to measure effectiveness, accuracy and business value
Embed Responsible AI principles and security controls throughout the solution lifecycle
Collaborate with stakeholders to identify and validate high-value AI use cases
Produce demonstrations, technical documentation and recommendations for AI adoption
Key requirements
Experience developing solutions using the OpenAI Platform and APIs
Strong understanding of Large Language Models (LLMs) and Generative AI technologies
Hands-on experience with Prompt Engineering and AI optimisation techniques
Proven experience implementing RAG architectures and knowledge retrieval solutions
Knowledge of Agentic AI and multi-agent orchestration frameworks
Experience building AI assistants, copilots or conversational AI applications
Strong Python development skills and experience with modern AI frameworks
Experience working with vector databases and semantic search technologies
Understanding of Security Operations Centre (SOC) processes and cyber security operations
Knowledge of AI evaluation methodologies, testing frameworks and performance measurement
Understanding of Responsible AI, security, governance and risk management principles
Excellent stakeholder engagement and communication skills
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