Lead Developer AI Customer Engagement

At Arctic Wolf were redefining the cybersecurity landscape. With our employee Pack members spread across the globe were 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. Were 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 thats 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.

Were seeking a Lead AI Engineer to design and build the next generation of intelligent autonomous security this role youll combine deep expertise in AI multi-agent architectures and cybersecurity to create scalable secure and adaptive solutions that strengthen enterprise defenses. Youll lead technical strategy guide a high-performing engineering team and drive innovation at the intersection of AI and Cybersecurity.

What Youll Do

• Own the technical roadmap and architecture for backend systems and full-stack integrations.

• Lead the design and development of scalable high-performance microservices and RESTful APIs.

• 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.

• Implement advanced prompting techniques RAG and few-shot learning to improve detection accuracy and contextual reasoning.

• Champion engineering excellence by enforcing best practices in code quality security performance and reliability.

• Lead technical planning backlog grooming and code reviews to ensure alignment with product and business goals.

• Drive system design discussions make architectural decisions and guide teams through technical trade-offs.

• Partner with DevOps Security and Product teams to ensure efficient secure and observable systems.

• Lead incident response and root cause analysis and implement improvements to increase system resilience.

• Mentor and coach developers across experience levels fostering a culture of growth innovation and accountability.

• Continuously improve team processes and tools supporting Agile methodologies and DevSecOps practices.

At Arctic Wolf were redefining the cybersecurity landscape. With our employee Pack members spread across the globe were 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. Were 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 thats not only leading but also shaping the future of security operations and customer engagement.

Our mission is simple: End Cyber Risk.

Skills and Experience

• 8 years of backend development experience with 2 years in a technical leadership or lead developer role.

• Experience designing RAG pipelines Agentic AI workflows and AI-driven automation for enterprise environments.

• Expertise in programming languages such as Python/Java/Go.

• Strong knowledge of microservices architecture RESTful APIs and distributed system design.

• Experience with relational NoSQL and Vector databases (e.g. PostgreSQL DynamoDB Elasticsearch Faiss DB).

• Proficiency in performance tuning asynchronous programming and multithreading.

• Hands-on experience with messaging systems such as Kafka RabbitMQ or SQS.

• Solid grasp of security principles including authentication authorisation and secure coding practices.

• Proficiency with AWS services such as Lambda Bedrock API Gateway S3 DynamoDB and ECS.

Desirable Skills and Experience

• Experience with containerisation (Docker Kubernetes/ECS) and cloud-native architecture.

• Experience in building scalable Agentic AI workflows or Conversational AI

• Familiarity with CI/CD DevOps practices and Infrastructure as Code (e.g. Terraform CloudFormation).

• Passion for cybersecurity and interest in security operations.

• Strong Git proficiency and experience managing branching strategies and code collaboration workflows.

• Experience working across the stack with a solid understanding of React/TypeScript front-end architecture.

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 peoples and organizations sensitive data and now enhancing how they interact with AI securely were 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 AWNs 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