Security Engineer

• Technical lead and internal consultant for secure, effective, and innovative use of AI across KONE.
• Help teams adopt AI confidently and safely by providing guidance, guardrails, and reusable solutions.
• Collaborate with cybersecurity engineers, IT, product and data teams to embed secure-by-design practices into AI solutions and workflows.
• Establish practical AI security guardrails & patterns for LLMs, classical ML, and AI-assisted workflows.
• Design and build AI agents for cybersecurity use cases and guide other teams building agents for business/product scenarios.
• Provide hands on consultancy and enablement: design sessions, solution reviews, prototyping safely, run clinics/office hours.
• Advance LLMOps/MLOps and oversee MCP usage: evaluation/safety tests, versioning and rollback, prompt/tool hygiene, secrets handling, and governance.
• Run pragmatic AI risk assessments for models and use cases—data minimization, isolation and context scoping, abuse/misuse prevention.
• Partner with capability owners to integrate AI securely with patterns, sample configs, and baselines.
• Strengthen the AI supply chain with procurement and third-party risk management—technical due diligence for model providers, vector stores, orchestration frameworks, plugins/tools, and SaaS.
• Create reusable assets and educate users—playbooks, starter kits, example prompts, decision trees, and reference implementations.
• Note: role does not focus on Security Operations or detection engineering, and does not own regulatory governance or management system topics.

Cybersecurity Expert, AI

Head of Operational Risk, Information Security