At Arctic Wolf, we're redefining the cybersecurity landscape. With our employee Pack members spread across the globe, we’re committed to setting new industry standards. Our accomplishments speak for themselves — from recognition in the Forbes Cloud 100, CNBC Disruptor 50, Fortune Future 50, and Fortune Cyber 60, to winning the 2024 CRN Products of the Year award. We’re proud to be named a Leader in the IDC MarketScape for Worldwide Managed Detection and Response Services and to have earned a Customers' Choice distinction from Gartner Peer Insights. Join a company that’s not only leading, but also shaping the future of security operations and customer engagement.
Our mission is simple: End Cyber Risk.
About the Role
The AI Security Assistant is an interactive security assistant that leverages generative AI (GenAI) and large language models (LLMs) to provide added context and assistance within the Arctic Wolf Unified Portal. It allows for natural language interaction, enabling customers to ask questions and gain more context about their security environment.
The Arctic Wolf AI Security Assistant represents a significant advancement in security operations, offering a powerful tool that combines the strengths of generative AI with the specific needs of security professionals. As it continues to evolve through its beta phase, incorporating feedback from users and expanding its skill set, it is poised to become an indispensable asset for Arctic Wolf customers seeking to bolster their security capabilities.
We’re seeking a Lead AI Engineer to design and build the next generation of intelligent, autonomous security systems. In this role, you’ll combine deep expertise in AI, multi-agent architectures, and cybersecurity to create scalable, secure, and adaptive solutions that strengthen enterprise defenses. You’ll lead technical strategy, guide a high-performing engineering team, and drive innovation at the intersection of AI and Cybersecurity.
Architecture & Development
Design and develop multi-agent AI workflows to automate and enhance complex cybersecurity capabilities.
Architect and implement MCP (Model Context Protocol) servers and tools to support AI-driven workflows.
Build scalable, fault-tolerant microservices using Kubernetes and HPA for enterprise-grade AI deployments.
Implement observability frameworks (metrics, traces, logs) to monitor agentic AI systems and detect anomalies in real time.
Embed security, compliance, and auditability across all AI-driven workflows, ensuring adherence to cybersecurity standards,
LLM Engineering
Fine-tune and optimize large language models (GPT, Claude, Llama) for cybersecurity use cases.
Implement advanced prompting techniques, RAG, and few-shot learning to improve detection accuracy and contextual reasoning.
Build low-latency, cost-efficient inference pipelines leveraging AWS Bedrock for secure, real-time analysis.
Maintain robust model lifecycle management, including versioning, evaluation, and A/B testing for continuous improvement.
Cloud & Systems
Lead secure, cloud AI deployments on AWS with strong focus on compliance and data protection.
Build and maintain secure service meshes and messaging systems (Istio, Kafka, RabbitMQ) to support distributed AI workloads.
Ensure enterprise-grade resilience with high availability, disaster recovery, and dynamic scaling.
Leadership
Lead and mentor a team of 5–6 AI/ML and backend engineers in delivering secure, high-performance cybersecurity solutions.
Establish technical standards, architecture blueprints, and best practices for AI-powered security systems.
Partner with product, research, and security teams to drive innovation and technical roadmaps in cybersecurity automation.
Foster a culture of experimentation, innovation, and operational excellence in the AI and engineering teams.
At Arctic Wolf, we're redefining the cybersecurity landscape. With our employee Pack members spread across the globe, we’re committed to setting new industry standards. Our accomplishments speak for themselves — from recognition in the Forbes Cloud 100, CNBC Disruptor 50, Fortune Future 50, and Fortune Cyber 60, to winning the 2024 CRN Products of the Year award. We’re proud to be named a Leader in the IDC MarketScape for Worldwide Managed Detection and Response Services and to have earned a Customers' Choice distinction from Gartner Peer Insights. Join a company that’s not only leading, but also shaping the future of security operations and customer engagement.
Our mission is simple: End Cyber Risk.
About the Role
The AI Security Assistant is an interactive security assistant that leverages generative AI (GenAI) and large language models (LLMs) to provide added context and assistance within the Arctic Wolf Unified Portal. It allows for natural language interaction, enabling customers to ask questions and gain more context about their security environment.
The Arctic Wolf AI Security Assistant represents a significant advancement in security operations, offering a powerful tool that combines the strengths of generative AI with the specific needs of security professionals. As it continues to evolve through its beta phase, incorporating feedback from users and expanding its skill set, it is poised to become an indispensable asset for Arctic Wolf customers seeking to bolster their security capabilities.
We’re looking for a Senior Software Developer – AI Customer Engagement to design and build the next generation of Conversational AI experiences that transform how our customers interact with Arctic Wolf’s Security Operations Cloud. You’ll be part of a team building intelligent, context-aware assistants that help customers access insights, automate workflows, and resolve issues faster — all through natural, human-like conversations.
This role is ideal for an engineer with a strong software foundation who is passionate about applied AI, large language models (LLMs), and customer-centric product experiences. You’ll work closely with our product, data science, and customer success teams to deliver high-impact Conversational AI solutions that enhance customer engagement, self-service, and operational efficiency.
What You’ll Do
Design and implement Conversational AI systems leveraging LLMs, retrieval-augmented generation (RAG), and dialogue orchestration frameworks.
Build intelligent assistants and chat interfaces that integrate seamlessly with Arctic Wolf’s Aurora platform and customer portals.
Develop and maintain backend services and APIs in Python, Go, or JavaScript to support conversational flows, context retrieval, and personalization.
Integrate with internal and external systems (CRM, Support, Knowledge Base, Security Operations data) to enable rich, context-aware responses.
Collaborate with data scientists and ML engineers to fine-tune models and improve language understanding, summarization, and recommendation quality.
Implement observability and feedback loops to monitor AI accuracy, tone, and effectiveness in real customer interactions.
Participate in code reviews, testing, and CI/CD workflows to ensure reliable, high-quality software delivery
About You
6+ years of experience in software engineering, AI systems design, or cybersecurity solution architecture.
Strong programming expertise in Python, Java, Node.js, and GraphQL API development.
Proven experience building microservices and REST APIs, integrated with modern CI/CD pipelines and Kubernetes for scalability.
Deep understanding of AWS Cloud Platform, including Bedrock, SageMaker, Lambda, ECS, and other core services.
Hands-on expertise with LLMs (GPT, Claude, Llama) and frameworks such as LangChain, Transformers, and Bedrock SDKs.
Experience designing RAG pipelines, agentic AI workflows, and AI-driven automation for enterprise environments.
Skilled in working with PostgreSQL, MongoDB, Elasticsearch/OpenSearch, and vector databases like Faiss and Pinecone.
Strong foundation in observability, monitoring, secure architecture, and team leadership for production-grade AI deployments.
Why Arctic Wolf
At Arctic Wolf, success comes from delighting our customers. We work together to ensure that happens every day. We believe in diversity and inclusion, and we value the unique perspectives every employee brings. By protecting people’s and organizations’ sensitive data — and now enhancing how they interact with AI securely — we’re advancing a mission that serves the greater good.
We celebrate unique perspectives through our Pack Unity program, encourage alliances across teams, and believe in giving back through our Pledge 1% Movement — dedicating our time, equity, and product for community impact.
What We Offer
Equity for all employees
Flexible annual leave, paid holidays, and volunteer days
Training and career development programs
Comprehensive private benefits plan, including medical coverage for you and your family
Life insurance (3x compensation) and personal accident insurance
Fertility support and paid parental leave
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.
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 laws and regulations