Senior Staff Developer, AI Detections

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: Senior Staff Engineer AI Threat Intel Platform

We are seeking a Senior Staff Engineer AI Threat Intel Platform to provide deep technical leadership in designing and evolving next-generation AI-driven systems that detect and mitigate emerging risks such as fraud abuse and anomalous behavior at global scale.

This is a highly influential individual contributor role operating at the intersection of agentic AI systems backend platform architecture cloud-native scalability and autonomous decision-making. You will define technical strategy architect complex systems and lead the design of LangChain/LangGraph-based reasoning frameworks scalable backend platforms MLOps pipelines and autonomous AI agents that materially enhance Arctic Wolfs proactive defense capabilities.

Candidates from cybersecurity financial services ad tech or other large-scale data and risk platforms are strongly 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 works closely with AI researchers data scientists security experts and core platform teams to invent and operationalize autonomous detection systems agentic reasoning frameworks large-scale microservices platforms and advanced MLOps capabilities that push the boundaries of modern cyber defense.

About the Role

• Act as a technical authority and system architect for the AI Threat Intel Platform driving long-term architecture and design decisions.

• Lead the design and evolution of AI-driven fraud risk and anomaly detection systems operating at scale.

• Architect and build advanced agentic AI frameworks using LangChain LangGraph or similar technologies for reasoning orchestration and autonomous execution.

• Design and guide implementation of highly scalable backend platforms and microservices using Python Go and cloud-native technologies.

• Own architectural patterns for resilience performance observability and security across distributed systems.

• Design and influence event-driven real-time pipelines using AWS services such as RDS DynamoDB Lambda EKS/Kubernetes streaming and messaging frameworks.

• Define and evolve MLOps architecture including model lifecycle management deployment strategies monitoring and real-time inference at scale.

• Drive integration of LLMs and autonomous agents for dynamic pattern detection correlation decision automation and adaptive response.

• Set engineering standards for code quality testing documentation and operational excellence across teams.

• Partner with product data science threat intelligence and platform leadership to align technical execution with business and security outcomes.

• Lead complex technical initiatives across multiple teams without direct authority influencing through expertise and collaboration.

• Mentor senior and junior engineers grow technical talent and raise the overall engineering bar.

• Contribute to R&D initiatives technical reviews architecture forums demos and innovation programs.

About You

• 15 years of experience in software engineering backend/platform development distributed systems or applied machine learning.

• Proven track record as a Senior Staff / Principal-level engineer driving architecture and delivering complex high-impact systems.

• Deep expertise in backend and distributed systems including large-scale real-time or data-intensive platforms.

• Strong experience with fraud detection risk analytics behavioral modeling or anomaly detection in domains such as cybersecurity fintech or ad tech.

• Hands-on experience designing or integrating agentic AI systems (LangChain LangGraph Semantic Kernel or similar).

• Expert-level programming skills in Python (preferred) and/or Go.

• Strong understanding of ML frameworks such as PyTorch TensorFlow or Scikit-learn with practical production experience.

• Extensive experience with cloud-native architectures Kubernetes Docker Terraform and event-driven systems.

• Deep knowledge of MLOps data pipelines feature engineering model deployment and observability.

• Strong grasp of LLM orchestration prompt strategies evaluation and AI system reliability.

• Experience operating and scaling systems on AWS or equivalent cloud platforms.

• Demonstrated ability to lead ambiguous high-impact initiatives independently.

• Excellent communication skills with the ability to influence senior technical and non-technical stakeholders.

• Passion for mentoring technical excellence and building durable future-proof platforms.