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Arctic Wolf

Principal AI Developer - Cybersecurity Operations

Reposted 25 Days Ago
Remote
2 Locations
Senior level
Remote
2 Locations
Senior level
Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.
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At Arctic Wolf, we're not just navigating the cybersecurity landscape - we're redefining it. Our global team of dedicated Pack members is driving innovation and setting new industry standards every day. Our impact speaks for itself: we've earned recognition on theForbes Cloud 100, CNBC Disruptor 50, Fortune Future 50, and Fortune Cyber 60lists, and we recently took home the2024 CRN Products of the Yearaward. We’re proud to be named a Leader in the IDC MarketScape for Worldwide Managed Detection and Response Services and earning a Customers' Choice distinction from Gartner Peer Insights. Our Aurora Platform also received CRN’s Products of the Year award in the inaugural Security Operations Platform category. Join a company that’s not only leading, but also shaping, the future of security operations. View our Hiring page here to learn more about our application process. 

 

Our mission is simple: End Cyber Risk. We’re looking for a Principal AI Developer to be part of making that happen.   

The Principal AI Developer will lead Arctic Wolf Labs in designing and deploying bespoke agentic workflows and fine-tuned machine learning and Generative AI models. This role focuses on building a scalable system that can collate security operations process data, fine tune AI models, and measure and guarantee quality of output across a global security operations team with diverse telemetry sources to support threat detection, investigation, and response. As a senior technical leader, you will architect frameworks that integrate operations process data and quality mechanisms 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. 

IN THIS ROLE, YOU’LL GET TO:

  • 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. 

WE’RE LOOKING FOR SOMEONE WITH: 

  • 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. 

On-Camera Policy
To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews. Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations.

About Arctic Wolf

At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (2021-2024), Best Places to Work – USA (2021-2024), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024), and Kununu Top Company – Germany (2024). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry. 

Our Values  

Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good.  

We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here.   

We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities.  

All wolves receive compelling compensation and benefits packages, including:  

  • 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 

Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodations by emailing [email protected].  

Security Requirements  

  • Conducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies). 

  • Background checks are required for this position.  

  • This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (“EAR”).  Please note that, if applicable, an offer for employment will be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations. 

Top Skills

Amazon Bedrock
AWS
Ci/Cd
Databricks
Devsecops
Flink
Generative Ai
Kafka
Knowledge Graph Technologies
Langchain
Machine Learning
Spark

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