Senior Staff Engineer AI

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.

Role: Senior Staff Engineer – AI

We are seeking a Senior Staff Engineer – AI 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 Wolf's 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.

Don't meet all the requirements That's okay! We still want you to apply. We have many opportunities, and we are always looking for top talent.

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.

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 (2021-2025), Best Places to Work – USA (2021-2025), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024-2026), and Kununu Top Company – Germany (2024-2026). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 10,000 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 annual leave, paid holidays and volunteer days
• Training and career development programs
• Comprehensive private benefits plan including medical insurance for you and your family, life insurance (3x compensation), and personal accident insurance.
• 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 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 accommodation by emailing [Confidential Information]. View our Hiring Page to learn more about our application process.

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.