Senior AIML Engineer – Cyber Intelligence
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
PLEASE READ CAREFULLY BEFORE APPLYING
This opportunity is suited to experienced AI/ML engineers who enjoy contributing to early-stage technology ventures and helping shape foundational systems from the ground up.
Our client is an emerging cybersecurity technology company developing advanced AI-driven infrastructure to strengthen cyber risk intelligence compliance automation and operational resilience for highly regulated industries.
They are seeking a Senior AI/ML Engineer (Fractional) to support the development of next-generation AI capabilities within their platform.
This engagement is designed for senior engineers who are comfortable working within early-stage environments where technical contributors help build long-term capability alongside company growth.
About the Opportunity
This role is structured as a fractional technical engagement (approximately 8 hours per week) and will work alongside a small team of engineers and domain specialists.
You will contribute to the design and implementation of advanced AI systems capable of interpreting large volumes of security data generating contextual intelligence and supporting automated risk analysis.
The focus is on building production-ready AI infrastructure that can scale with the platforms evolving capabilities.
What Youll Be Building
Advanced NLP Systems
Develop natural language processing models capable of extracting structured insight from unstructured documents threat intelligence feeds and security reports.
LLM / Retrieval Systems
Build retrieval-augmented intelligence systems that generate contextual security insights and assist with automated risk analysis.
Knowledge Graph Architecture
Design dynamic knowledge graph structures that map relationships among assets vulnerabilities and regulatory frameworks.
Real-Time AI Pipelines
Develop scalable ML pipelines that process security data streams and deliver actionable insights.
Key Responsibilities
AI Architecture & Engineering
- Designing and deploying production-grade NLP models for security intelligence analysis
- Developing knowledge graph systems connecting assets vulnerabilities and compliance frameworks
- Building LLM-based intelligence capabilities to support automated cyber risk insights
Technical Delivery
- Implementing robust MLOps pipelines to support model lifecycle management
- Optimising model performance for real-time or near-real-time security analysis
- Collaborating with domain specialists to translate cybersecurity concepts into machine learning models
Strategic Contribution
- Contributing to the technical roadmap for AI capabilities within the platform
- Researching emerging AI techniques relevant to cybersecurity and risk analysis
- Supporting architecture decisions that enable long-term scalability
Who This Opportunity Is For
You are likely to be a strong fit if you:
- Hold an advanced degree in Computer Science AI/ML Mathematics or a related technical field
- Have 5 years of experience building production AI/ML systems
- Have strong expertise in NLP frameworks (e.g. spaCy Hugging Face OpenAI APIs)
- Have experience working with knowledge graph technologies (e.g. Neo4j Neptune or similar)
- Have hands-on experience with LLM/RAG architectures
- Have strong programming skills in Python with frameworks such as PyTorch or TensorFlow
- Are comfortable working within cloud environments (AWS Azure or GCP)
Experience working with cybersecurity data or threat intelligence
- Familiarity with frameworks such as NIST ISO 27001 SOC 2 DORA or OWASP
- Experience building ML systems within regulated industries
Engagement Structure
This role is structured as a fractional technical engagement (approximately 8 hours per week) for experienced engineers interested in contributing to the technical foundation and development of an emerging cybersecurity technology platform at an early stage.
Participation is aligned with the companys current growth phase and is structured around long-term strategic involvement and shared upside as the platform scales.
As the organisation progresses through future growth milestones there will be opportunities for the engagement structure to develop alongside the companys trajectory.
This opportunity is well-suited to engineers who enjoy solving complex technical problems and contributing to foundational systems in emerging technology environments.
Key Skills
- All-Source Intelligence
- Military Intelligence
- GIS
- ICD Coding
- Intelligence Experience
- Military Experience
- Analysis Skills
- Microsoft Powerpoint
- Joint Operations
- Intelligence Analysis
- Leadership Experience
- Writing Skills
