Senior AI Engineer - Cyber Intelligence (Remote | Fractional)

Senior AI Engineer – Cyber Intelligence (Fractional | Remote)

Remote | Fractional Engagement (Approx. 8 hours per week)

PLEASE READ CAREFULLY BEFORE APPLYING

This opportunity is suited to experienced AI/ML engineers who are interested in contributing to early-stage technology platforms and building real-world applications in cybersecurity and risk intelligence.

Our client is developing advanced AI-driven systems designed to interpret complex security and compliance data and generate actionable intelligence for regulated industries.

They are seeking a Senior AI Engineer (Fractional) to contribute to the development of core AI capabilities within the platform.

About the Opportunity

This role is structured as a fractional technical engagement (approximately 8 hours per week) .

You will contribute to building production-ready AI systems, including NLP pipelines, LLM-powered workflows, and knowledge graph architectures that support advanced cyber risk analysis.

This opportunity is best suited to individuals who are comfortable working within early-stage environments where engagement structures evolve alongside company growth .

Key Responsibilities

• Develop NLP systems for processing security and compliance data
• Build LLM/RAG pipelines for contextual intelligence generation
• Design knowledge graph structures linking risks, controls, and assets
• Build scalable AI pipelines for real-time or near-real-time analysis

Who This Opportunity Is For

• 5+ years building production AI/ML systems
• Strong experience with NLP, LLMs, and modern ML tooling
• Proficiency in Python
• Experience in cybersecurity, fintech, or regulated environments (preferred)
• Comfortable working independently in a lean environment

Engagement Structure

This is a fractional engagement (approximately 8 hours per week) with flexibility and the opportunity to contribute to a growing technology platform.

This opportunity is best suited to professionals who are comfortable contributing to early-stage environments where engagement structures evolve alongside company growth.

Further details will be discussed with the shortlisted candidates.