About the role
Senior Executive, AI Engineer role based on the published job description. Key responsibilities and requirements were extracted directly from the posting for quick review.
TransportOnsite
Key Responsibilities
- Job Purpose In an increasingly complex cyber threat landscape, the Senior Executive, AI Engineer is responsible for leading the technical integration of Artificial Intelligence (AI) and Large Language Models (LLMs) into SMRT's cyber defence operations.
- Responsibilities As Senior Executive, AI Engineer, you will support the design, implementation and operationalisation of SMRT's threat management programme.
- Develop LLM-driven assistants (e.g., Text-to-SQL/SPL converters) that enable Threat Analysts to rapidly generate hunt queries and correlate disparate data points for stealthy intrusion detection.
- Build and maintain Retrieval-Augmented Generation (RAG) pipelines that ingest internal documentation (playbooks, past incident reports) and external threat intelligence to provide context-aware answers to analysts.
- Expertise in designing autonomous agent workflows that can execute multi-step security tasks • Strong scripting skills to integrate AI models with SOAR APIs, SIEM backends, and EASM platforms for real-time data exchange.
- Core Competencies include: • Ability to conceptualise novel AI use-cases and lead the technical execution from proof-of-concept to full operationalisation.
Requirements
- Qualifications & Work Experience • A bachelor's degree in Cybersecurity, Information Systems, Computer Science, or a related discipline.
- 3-8 years of relevant experience in threat management, threat hunting, incident response, red teaming, cybersecurity operations, or equivalent intelligence driven security roles.
- Hands-on experience in developing, fine‑tuning, and operationalising AI/LLM models for cybersecurity use cases (e.g., threat detection, enrichment automation, anomaly identification, and intelligence summarisation).
- Hands‑on experience working with threat management (e.g.
- Familiarity with security operations, incident response, and vulnerability management workflows, enabling effective intelligence operationalisation.
- Skills Technical Skills include: • Proficiency in developing, fine‑tuning, and operationalising AI/LLM models.