Senior Staff Developer - AI

At Arctic Wolf , you will not just watch the cybersecurity industry evolve – you will help lead the change. Our global team is made up of people who thrive on solving complex problems, moving quickly, and building technology that protects organizations around the world. We are proud to be recognized by Forbes, CNBC, Fortune, CRN, Gartner Peer Insights, and International Data Corporation MarketScape. What matters most is the work behind these recognitions: delivering real outcomes for customers through award-winning innovation such as our Aurora Platform.

If you are looking for meaningful work, smart teammates, and the opportunity to make a real impact in a high-growth company that is redefining security operations, Arctic Wolf is the right place for you.

Our mission is simple: End Cyber Risk.

We are looking for a Senior Staff Developer – AI to help achieve this mission.

The Senior Staff Developer will contribute to our Engineering organization by designing, developing, and optimizing next-generation artificial intelligence agent frameworks that power security operations automation. This role is focused on building sophisticated agentic systems capable of reasoning, planning, orchestration, tool usage, decision-making, and autonomous task execution.

As a senior technical leader, you will play a hands-on role in defining and evolving the architecture of agentic artificial intelligence frameworks, improving agent performance and reliability, and developing reusable patterns that enable intelligent automation at scale. You will work closely with artificial intelligence and machine learning engineers, data scientists, security researchers, detection engineers, and security operations teams to transform complex operational requirements into intelligent, production-ready agentic solutions.

About Arctic Wolf Labs

Arctic Wolf Labs is the research-focused division of Arctic Wolf dedicated to advancing innovation in security operations. Our mission is to develop cutting-edge technologies and tools that strengthen Arctic Wolf’s core goal of ending cyber risk while bringing intelligence and automation to both our customers and the broader security community.

You will collaborate with threat researchers, data scientists, detection engineers, platform developers, and security operations experts to build real-world solutions for complex cybersecurity challenges.

In This Role, You Will

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Design, develop, and optimize agentic artificial intelligence frameworks that enable intelligent reasoning, planning, orchestration, and autonomous task execution.

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Build reusable agent architectures and framework components using technologies such as LangChain, LangGraph, LangSmith, or similar agentic frameworks.

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Develop multi-agent workflows that enable agents to collaborate, delegate tasks, invoke tools, reason over context, and make decisions based on available information.

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Design and implement agent orchestration patterns, including state management, memory, tool calling, planning, routing, human-in-the-loop workflows, and autonomous execution.

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Optimize agent performance, reliability, accuracy, latency, and cost through systematic evaluation, experimentation, and framework improvements.

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Develop evaluation frameworks and observability capabilities to measure agent behavior, reasoning quality, tool usage, task completion, and overall system effectiveness.

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Design and implement artificial intelligence powered automation workflows that transform complex Security Operations Center processes into scalable and intelligent agentic solutions.

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Integrate large language models, machine learning models, retrieval systems, tools, application programming interfaces, and enterprise services into agentic workflows.

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Research and prototype emerging agentic artificial intelligence techniques and translate successful approaches into production-ready framework capabilities.

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Establish engineering patterns and best practices for prompt orchestration, agent evaluation, context management, guardrails, error handling, and autonomous decision-making.

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Collaborate with artificial intelligence and machine learning, data science, security research, detection engineering, and security operations teams to identify opportunities for agentic automation.

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Drive technical leadership through architecture discussions, code reviews, technical design, mentoring, and development of engineering standards for agentic systems.

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Solve complex technical challenges related to agent behavior, orchestration, reasoning, evaluation, reliability, and production performance.

You Will Be Successful In This Role If

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You have 14 or more years of experience in software engineering, artificial intelligence engineering, machine learning engineering, or related technical development roles.

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You have deep hands-on experience designing and developing artificial intelligence agents, agentic workflows, or intelligent automation systems.

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You have strong experience with agentic frameworks such as LangChain, LangGraph, LangSmith, Semantic Kernel, or similar technologies.

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You have strong programming experience in Python, Go, or similar programming languages and can independently design, develop, debug, and optimize production-quality software.

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You have experience working with large language models, prompt engineering, tool calling, retrieval-augmented generation, agent orchestration, context management, and autonomous task execution.

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You have experience developing evaluation strategies and frameworks for artificial intelligence applications, including measuring accuracy, reliability, latency, cost, and agent task completion.

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You have strong understanding of distributed systems, application programming interfaces, event-driven workflows, data processing, and software design patterns.

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You have demonstrated experience taking artificial intelligence prototypes from experimentation through production deployment and continuous optimization.

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You have demonstrated success leading complex technical initiatives, influencing architectural decisions, and establishing engineering best practices.

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You can independently drive large-scale technical initiatives from concept and architecture through implementation, evaluation, and production adoption.

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You have strong communication, collaboration, and problem-solving skills and can mentor engineers and influence technical direction across teams.

Nice To Have

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Experience building multi-agent systems or Mixture of Experts architectures.

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Experience with LangGraph, LangChain, LangSmith, Model Context Protocol, or similar agentic artificial intelligence technologies.

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Experience building agent evaluation, tracing, observability, and experimentation frameworks.

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Experience with artificial intelligence and machine learning operations, including model evaluation, deployment, monitoring, and continuous improvement.

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Experience building intelligent automation systems for Security Operations Center, threat detection, incident response, or other complex operational environments.

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Familiarity with threat intelligence, detection engineering, security analytics, or cybersecurity workflows.

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Experience developing guardrails, validation mechanisms, and human-in-the-loop controls for autonomous artificial intelligence systems.

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Experience contributing to technical strategy, architecture reviews, or engineering leadership initiatives.

What Success Looks Like

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Development and adoption of scalable agentic artificial intelligence frameworks that enable intelligent automation across security operations.

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Measurable improvements in agent accuracy, reliability, task completion, latency, and cost.

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Successful development of reusable agent architectures, orchestration patterns, tools, and framework components.

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Production adoption of large language model powered agents capable of reasoning, planning, tool usage, and autonomous