Senior AI Developer

Arctic Wolf

1d

About The Position

At Arctic Wolf, you won’t just watch the cybersecurity industry evolve – you'll help lead the change. Our global Pack is made up of people who thrive on solving hard problems, moving fast, and building technology that protects organizations around the world. We’re proud to be recognized by Forbes, CNBC, Fortune, CRN, Bartner Peer Insights and IDC MarketScape – but what matters most is the work behind it: delivering real outcomes for customers through award winning innovation like our Aurora Platform. If you’re looking for meaningful work, smart teammates and the chance to make a real impact in a high-growth company that’s redefining security operations, Arctic Wolf is the right place for you! Our mission is simple: End Cyber Risk. We’re looking for a Senior AI Developer to be part of making that happen. About the role The Senior AI Developer will design, build, and deploy agentic workflows and machine learning / Generative AI models within Arctic Wolf Labs. This role focuses on developing scalable systems that collate security operations process data, train and fine-tune AI models, and measure quality of output to support threat detection, investigation, and response. You will implement solutions that integrate operations process data with knowledge graphs and agentic workflows, enabling structured reasoning and automation in security operations. You will collaborate with security operations analysts, data scientists, platform engineers, and threat researchers to deliver production-grade solutions that enhance Arctic Wolf's mission to end cyber risk.

Requirements

• 5+ years of experience building intelligent systems, distributed platforms, or AI-enhanced applications.
• Demonstrated expertise in production delivery of Generative AI or machine learning systems.
• Experience with agentic frameworks (e.g., AgentCore, Amazon Bedrock, LangChain) and LLM integration.
• Experience training and tuning AI models, including quality measurement and evaluation (e.g., LLM-as-judge).
• Familiarity 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.

Responsibilities

• Design and implement agentic workflows and fine-tuned models for the automation of security operations processes.
• Build and maintain ML and data pipelines for the training and deployment of fine-tuned generative AI and machine learning models.
• Develop 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.
• Apply comprehensive knowledge of ML/AI principles and practices to resolve a wide range of technical challenges in creative ways.
• Work independently on problems of diverse scope, devising solutions based on analysis of information and adapting existing approaches to resolve issues.
• Mentor more junior team members on ML/AI best practices and development patterns.
• Stay current with emerging trends in machine learning, knowledge graphs, and agentic AI.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees