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 Models (SLMs).
Working knowledge of cybersecurity concepts including: Threat Hunting Vulnerability & Exposure Management MITRE ATT&CK Security Operations.
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.
About Arctic Wolf
At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (2021-2025), Best Places to Work – USA (2021-2025), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024-2026), and Kununu Top Company – Germany (2024-2026). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 10,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry.
Our Values
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 truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good.
We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here.
We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities.
Benefits
All wolves receive compelling compensation and benefits packages, including:
Equity for all employees
18 days annual leave, flexible holidays & festivals, and paid volunteer days
Training and career development programs
Comprehensive private benefits plan including medical insurance for you and your family, life insurance (3x compensation), and personal accident insurance.
A modern workplace in Helios Business Park in Bengaluru
Security Requirements
At Arctic Wolf, protecting our people, customers, and data is fundamental to how we operate. All employees are expected to uphold our commitment to security, privacy, and compliance by following internal information security policies, standards, and controls designed to safeguard the confidentiality, integrity, and availability of business, customer, employee, and other confidential information and to support compliance with applicable legal and regulatory requirements.
Depending on the role and where permitted by applicable law, employment may be subject to background verification and additional regulatory, security, or compliance requirements, including obligations related to data protection and export control laws, and authorization requirements where applicable.
Your next big opportunity starts here — apply today and help us end cyber risk.
