Senior Principal AI Developer – Cybersecurity Operations

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October 23

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Arctic Wolf

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The cybersecurity industry has an effectiveness problem. Every year new technologies, vendors, and solutions emerge, and yet despite this constant innovation we continue to see high profile breaches in the headlines. All organizations know they need better security, but the dizzying array of options leave resource-constrained IT and security leaders wondering how to proceed. At Arctic Wolf, our mission is to End Cyber Risk through effective security operations. To achieve this, we believe that organizations must do three key things:

1001 - 5000 employees

Founded 2012

📋 Description

• Architect and lead the development of agentic workflows and fine-tuned models for the automation of new and existing security operations processes • Establish ML and data pipelines for the training and deployment of fine-tuned generative AI and machine learning models • Design scalable systems to unify and correlate data across heterogeneous sources using rule-based, probabilistic, and ML-based approaches • Work with security operations and other teams to measure, monitor, and evaluate AI quality and iteratively improve • Define best practices for building secure, observable, and scalable AI systems in cloud-native environments • Guide the evolution of Arctic Wolf Labs’ AI strategy, influencing product roadmaps and technical direction • Mentor senior engineers and foster a culture of innovation and excellence across teams • Stay ahead of emerging trends in entity resolution, knowledge graphs, and agentic AI.

🎯 Requirements

• 10+ years of experience building intelligent systems, distributed platforms, or AI-enhanced applications • 5+ years of experience leading technical teams and mentoring senior contributors • Deep expertise in large scale production delivery of Generative AI • Experience with agentic frameworks (e.g., AgentCore, Amazon Bedrock, LangChain) and LLM integration • Experience training and tuning AI models, including ongoing quality measurement and evaluation (LLM-as-judge) • Hands-on experience with knowledge graph technologies (e.g., Neptune, Neo4j, RDF/SPARQL, GraphQL) • Familiarity with cloud-native data services (AWS preferred) and data engineering tools (Spark, Flink, Kafka, Databricks) • Experience with infrastructure-as-code, CI/CD, and DevSecOps principles • Exposure to cybersecurity concepts: threat detection, MITRE ATT&CK, telemetry, and adversarial behavior modeling • Passion for building intelligent systems that solve real-world security challenges.

🏖️ Benefits

• Equity for all employees • Flexible time off and paid volunteer days • RRSP and 401k match • Training and career development programs • Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&D, and value-added services • Robust Employee Assistance Program (EAP) with mental health services • Fertility support and paid parental leave