Senior Staff Developer - AI

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

• Strong evaluation and observability capabilities that enable continuous optimization of agent performance.

• Increased automation of complex operational workflows through intelligent agentic systems.

• Strong technical mentorship and contribution to the growth and maturity of artificial intelligence engineering capabilities across the organization.

Do not meet all the requirements? That is okay. We still encourage you to apply. We have many opportunities and are always looking for strong talent.

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 value the unique perspectives all employees bring to the organization. By protecting sensitive data and working to end cyber risk, we contribute to an industry that serves the greater good. We celebrate diverse perspectives through our Pack Unity program and encourage employees to participate in or create new alliances. We also believe in corporate responsibility and have joined the Pledge One Percent movement to give back to our communities. All Employees 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 equal to three times 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 applicable law. We are committed to fostering a welcoming, accessible, and inclusive environment.

• Conduct duties in accordance with Arctic Wolf information security policies, standards, and controls.

• Background checks are required for this position.

• This role may require access to information protected under United States export control laws and regulations, including the Export Administration Regulations. If applicable, an offer of employment will be conditioned upon authorization to receive software or technology controlled under these regulations.