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Staff AI Developer
Location
United States
Posted
74 days ago
Salary
$160K - $280K / year
Seniority
Lead
Job Description
Staff AI Developer
Arctic Wolf
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 Staff AI Developer to be part of making that happen. About the role The Staff AI Developer will lead the design and development of agentic workflows and machine learning / Generative AI models within Arctic Wolf Labs. This role focuses on providing technical direction for the team in building scalable systems that collate security operations process data, train and fine-tune AI models, and measure quality of output across a global security operations team. You will architect and 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. As a Staff AI Developer at Arctic Wolf, you will: - Lead the design and implementation of agentic workflows and fine-tuned models for the automation of security operations processes. - Provide technical direction and guidance to a team of ML engineers and developers through the design, implementation, and testing of AI/ML systems. - Architect ML and data pipelines for the training and deployment of fine-tuned generative AI and machine learning models. - Design 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. - Determine methods and procedures on new assignments, exercising judgment in selecting approaches and evaluation criteria for obtaining results. - Develop trusted cross-team relationships to deliver solutions that span multiple areas of expertise. - Mentor engineers and emerging technical leaders on the team, fostering a culture of innovation and excellence. - Stay current with emerging trends in machine learning, knowledge graphs, and agentic AI. We’re looking for someone with: - 7+ years of experience building intelligent systems, distributed platforms, or AI-enhanced applications. - 2+ years of experience providing technical direction to a team or leading technical projects. - Strong 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). - 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 recruiting@arcticwolf.com. 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. The base salary range for this job family is 160,000 to 280,000 USD annually. This range reflects the base pay the company reasonably expects to offer for this position, aligned to the broader job family base pay structure. Actual base pay may vary based on skills, experience, and location, including job family level. In addition to base pay, Arctic Wolf offers variable incentive compensation, new hire equity grants, and a comprehensive benefits package.
Job Requirements
- 7+ years of experience building intelligent systems, distributed platforms, or AI-enhanced applications.
- 2+ years of experience providing technical direction to a team or leading technical projects.
- Strong 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).
- 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.
- Conduct 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.
- 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”).
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
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Staff AI Engineer, People Technology | US | Remote
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• Collaborate with product managers and other stakeholders to understand business requirements and develop data-driven solutions. • Work with operations and product teams to create and improve datasets from human experts. • Setup machine learning tools and manage data pipelines. • Develop AI solutions iteratively with evaluations to automate tasks, make predictions, and optimize processes. • Deploy and monitor AI systems in production, and ensure that they are performing as expected. • Stay up-to-date on the latest trends and developments in data science and machine learning.
