Senior Manager, Artificial Intelligence

Arctic Wolf Networks, Inc.; Texas; Hybrid; INR 11,424,446 - 26,948,989; Full time

Benefits offered by this job

Variable incentive compensation

Equity grants

Comprehensive benefits package

Job summary

Arctic Wolf Networks, Inc. is seeking an AI leader to plan and direct development of scalable AI solutions that turn security signals into faster detection and response. You will coordinate with R&D Leadership, Product Management, and Security Services to deliver production‑grade AI on time.

You will drive the 6‑month AI roadmap, mentor teams, and recruit for full-time and co-op roles, applying a range of ML approaches from classical models to fine‑tuned language models and agentic systems.

Qualifications

• Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Data Science, or a related field, or an equivalent combination of education and experience.
• Four years of experience in software, AI/ML, or data science roles (or a Master’s degree plus two years).
• Demonstrated experience leading technical teams and delivering AI/ML or Generative AI systems to production at scale.
• Strong expertise in production delivery of Generative AI or machine learning systems, including training, tuning, and evaluation (e.g., LLM‑as‑judge).
• Experience with agentic frameworks (e.g., AgentCore, LangChain, LangGraph) and LLM integration.
• Experience architecting MLOps processes and tooling for moving models from training to production, including drift monitoring and continuous learning in high‑volume pipelines.

Responsibilities

• Generate and manage day‑to‑day team work, owning outcomes.
• Partner with Product to define and deliver the 6‑month AI roadmap and contribute to longer‑term planning.
• Provide direction, remove obstacles, and lead cross‑functional teams delivering high‑quality AI solutions.
• Set direction for classical ML to deep learning, fine‑tuned LLMs, and agentic systems, translating security use cases.
• Oversee design, training, deployment, and ongoing quality measurement of models and agentic experiences.
• Drive continuous improvement in engineering and MLOps processes.
• Uphold secure coding and DevSecOps standards across development lifecycle.

Skills

AI leadership

Generative AI

MLOps

LangChain

LangGraph

AgentCore

Cloud-native

Team leadership

Education

Bachelor's CS/related field

Master's in AI/ML (plus experience)

Tools

Spark

Flink

Kafka

Databricks

CI/CD

Job description

About The Role

In this role, you advance the mission of ending cyber risk by planning and directing AI development that turns massive volumes of security signals into faster detection and response. Your work spans the full range of machine learning and AI solutions, from classical models to fine‑tuned language models and agentic systems. You coordinate with R&D Leadership, Product Management, and the Security Services (S2) organization to build scalable, production‑grade AI delivered on time.

Responsibilities

• Generate and manage the day‑to‑day work for your team, owning outcomes.
• Partner with Product to define and deliver the 6‑month AI roadmap and contribute to longer‑term planning with R&D Leadership.
• Provide direction and clarity, remove obstacles, and lead cross‑functional teams that deliver high‑quality, innovative AI solutions.
• Set the direction for applying the right approach to each problem—from classical ML to deep learning, fine‑tuned language models, and agentic systems—and translate complex security use cases into production‑ready initiatives.
• Partner with Architects and leadership on the company’s technical roadmap, championing secure, observable, and scalable AI systems in cloud‑native environments.
• Oversee the design, training, deployment, and ongoing quality measurement of models and agentic experiences.
• Drive continuous improvement in engineering and MLOps processes.
• Uphold secure coding and acceptable‑use standards across the full development lifecycle.
• Drive cross‑functional initiatives with platform, product, and security operations teams to integrate AI into production and see work through to completion.
• Mentor each team member and help them grow technical and leadership skills, establishing career development plans and achievable goals.
• Build collaborative relationships across teams and stakeholders.
• Lead recruitment for the team and contribute to hiring and recruitment strategy for full‑time and co‑op roles.

Qualifications

• Bachelor’s degree or foreign equivalent in Computer Science, Machine Learning, Data Science, or a related field, or an equivalent combination of education and experience.
• Four years of experience in software, AI/ML, or data science roles (or a Master’s degree plus two years), including experience leading technical teams or projects.
• Demonstrated experience leading technical teams and delivering AI/ML or Generative AI systems to production at scale.
• Strong expertise in the production delivery of Generative AI or machine learning systems, including training, tuning, and ongoing quality measurement and evaluation (e.g., LLM‑as‑judge).
• Experience with agentic frameworks (e.g., AgentCore, LangChain, LangGraph) and LLM integration.
• Experience architecting MLOps processes and tooling for moving models from training to production, including drift monitoring and continuous learning in high‑volume pipelines.
• Familiarity with cloud‑native data services (AWS preferred) and data engineering tools (e.g., Spark, Flink, Kafka, Databricks), and with infrastructure‑as‑code, CI/CD, and DevSecOps principles.
• Exposure to cybersecurity concepts such as threat detection, MITRE ATT&CK, telemetry, and adversarial behavior modeling.
• A can‑do attitude, tenacity, and proven ability to work across cross‑functional boundaries to drive ambiguous, high‑impact initiatives to completion.

Benefits & Compensation

Base salary range: $118,700–$280,000 USD annually. Arctic Wolf offers variable incentive compensation, new hire equity grants, and a comprehensive benefits package.

Security Requirements

• Conduct duties in accordance with AWN’s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity, and availability of AWN business information.
• Background checks are required for this position.
• Position may require access to information protected under U.S. export control laws and regulations.

Equal Opportunity Employer

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 federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities.