Developer AI Threat Intel

At Arctic Wolf were redefining the cybersecurity landscape. With our Pack members across the globe were committed to setting new industry standards. Our accomplishments speak for themselvesfrom our recognition in the Forbes Cloud 100 CNBC Disruptor 50 Fortune Future 50 and Fortune Cyber 60 to winning CRNs 2024 Product of the Year award.

Were proud to be a Leader in the IDC MarketScape for Worldwide Managed Detection and Response Services and a Gartner Peer Insights Customers Choice recipient. Our Aurora Platform also received CRNs Product of the Year in the inaugural Security Operations Platform category.

Join a company thats not only leadingbut shapingthe future of AI-driven defense automation and scalable backend systems.

Our mission is simple: End Cyber Risk.

Role: Developer AI Threat Intel Platform

We are seeking a Senior Developer AI Threat Intel Platform to design and build next-generation systems that use agentic AI frameworks machine learning backend microservices and intelligent automation to detect and mitigate emerging risks such as fraud abuse and anomalous behavior.

This role sits at the intersection of AI engineering backend systems cloud-native architectures and autonomous decision-making where youll build LangChain/LangGraph-based reasoning frameworks scalable services MLOps pipelines and AI agents that enhance the organizations proactive defense capabilities.

Candidates from advertising financial services or cybersecurity backgrounds are encouraged to apply.

About Arctic Wolf Labs

Arctic Wolf Labs is our research and innovation division dedicated to advancing AI automation and data intelligence to further our mission to end cyber risk.

The Labs Engineering team collaborates with AI researchers data scientists security engineers and backend platform teams to develop autonomous detection systems scalable microservices MLOps pipelines and agentic reasoning frameworks that improve defense accuracy performance and adaptability.

About the Role

• Design and develop an AI-driven Threat Intel Platform focused on fraud risk and anomaly detection.

• Build and extend agentic frameworks using LangChain LangGraph or similar architectures for reasoning orchestration and task automation.

• Design develop and maintain backend services and microservices using Python Go and cloud-native technologies.

• Build secure scalable and high-performance systems leveraging AWS services including RDS DynamoDB Lambda EKS/Kubernetes and event-driven pipelines.

• Develop and manage MLOps pipelines for scalable model training testing deployment and real-time inference.

• Implement end-to-end automation workflows from data ingestion and feature engineering to autonomous inference and actioning.

• Integrate LLMs and autonomous AI agents for dynamic pattern recognition event correlation and decision automation.

• Integrate software components into robust production-ready systems with clear documentation testing and maintainability.

• Apply test-driven development and CI/CD practices using Git Jenkins Terraform Docker and cloud-native tooling.

• Collaborate with data science threat intelligence and platform engineering teams to deliver intelligent context-aware solutions.

• Use advanced debugging and analytical techniques to solve complex distributed-systems and AI workflow challenges.

• Mentor junior developers and contribute to team growth through knowledge sharing and technical leadership.

• Participate in R&D demos innovation initiatives and annual hackathons to explore and showcase new ideas.

About You

• 3 years of experience in software engineering machine learning or backend/data systems development.

• Strong focus on backend engineering with experience building large-scale distributed or real-time systems.

• Hands-on experience with fraud/risk analytics behavioral modeling or anomaly detection (fintech ad tech cybersecurity domains preferred).

• Proven experience building or integrating agentic AI frameworks (LangChain LangGraph Semantic Kernel etc.).

• Strong programming skills in Python (preferred) or Go and familiarity with PyTorch TensorFlow or Scikit-learn.

• Experience with cloud-native architectures and tools: Kubernetes Docker Terraform event-driven systems.

• Practical knowledge of MLOps data pipeline design feature stores and real-time inference systems.

• Understanding of AI automation LLM-based orchestration prompt engineering and evaluation strategies.

• Familiarity with cloud platforms (preferably AWS) and distributed systems at scale.

• Proven ability to work independently on large features drive technical discussions and deliver production-quality systems.

• Strong collaboration and communication skills with a passion for mentoring and team development.

• A proactive mindset and ability to adapt existing approaches to solve new challenges.

About Arctic Wolf

At Arctic Wolf were cultivating a collaborative and productive work environment that welcomes a diversity of backgrounds cultures and ideas to make our teams even stronger as we grow globally. Weve been named one of the 50 Most Innovative Companies in the world for 2022 (Fast Company)and the 2nd Most Innovative Security Company. We have won countless awards for our excellence in security operations and remain dedicated to providing an industry-leading customer and employee experience including:

• Top Workday USA ()

• Great Place to Work () & Best Workplaces for Women (2024) in Canada

• Best Workplaces in Tech & For Women in the UK (2023)

• Top Company by Kununu in Germany (2024)

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 thatby protecting peoples and organizations sensitive data and seeking to end cyber riskwe 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. Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race colour religion sex orientation national origin age disability genetics or any other basis forbidden under federal provincial or local law.

Arctic Wolf is committed to accessibility

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. Please let us know if you require any accommodations by emailing

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.

Security Requirements

Conducts duties and responsibilities in accordance with AWNs 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.