Manager AI Engineering at Arctic Wolf in Bengaluru

Job description

#RunwiththePack At Arctic Wolf, we’re on a mission to end cyber risk . We are a global leader in security operations, helping organizations stay resilient against evolving cyber threats through industry-leading security operations, threat intelligence, and a people-first approach to cybersecurity. More than 3,000 Pack members across the world work together every day to protect our customers and empower security teams with new levels of speed, accuracy, and intelligence at scale. What sets us apart is our relentless focus on our customers, innovation at scale, and a collaborative culture where talented people can do meaningful work that truly makes a difference. We’re constantly looking for talented people to join the Pack and help us take our performance to the next level. About the Position: 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 Manager AI Engineering to help achieve this mission. Position Overview The Manager AI Engineering will contribute to our Engineering organization by designing and building next-generation security operations automation platforms that improve detection reliability, incident response speed, and operational efficiency. This role combines advanced backend engineering, cloud-native architecture, cybersecurity automation, and applied artificial intelligence to develop intelligent systems that strengthen Arctic Wolf’s security operations capabilities. As a Manager, you will help define architectural direction, mentor engineers, and drive innovation across automation frameworks, detection pipelines, and artificial intelligence-powered security workflows. Responsibilities Performance cycles and career development, including setting clear goals, delivering fair, evidence-based reviews, handling underperformance, and building growth plans that lead to promotions. Deliver AI-powered capabilities, including LLMs, MCPs, Agentic frameworks, and Intelligent AI workflows. Collaborate with threat researchers, data scientists, and engineering teams to deliver innovative security solutions. Provide technical leadership through architecture design, code reviews, and mentorship. Drive innovation in cybersecurity automation, AI adoption, and platform scalability. Required Qualifications 10+ years of experience in software development, cloud infrastructure, or security-focused engineering. 3+ years of experience in people management that includes leading, coaching and growing engineering or technical teams, with ownership of hiring, onboarding and team health. Strong expertise in distributed systems, cloud-native architectures, and automation platforms. Hands-on experience with Agile delivery, including sprint planning, backlog prioritization and retrospectives, using Jira to plan work, track progress and report status to stakeholders. Experience working with AWS, Azure, or GCP environments. Proven experience integrating AI/ML and GenAI capabilities into production systems. Mandatory Skills Experience developing applications using Model Context Protocol (MCP). Hands-on experience with AI Gateways (LLM & MCP). Experience with LangChain, LangGraph, Agentic AI Frameworks, and RAG architectures. Advanced knowledge of Generative AI, LLMs, and Small Language M