AI System Engineer

@ Armis

Overview

Armis, a cyber exposure management and security company, protects the entire attack surface and manages an organization’s cyber risk in real time. In a rapidly evolving, perimeter-less world, Armis ensures organizations continuously see, protect and manage all critical assets from the ground to the cloud. Armis secures Fortune 100, 200 and 500 companies as well as national governments and state and local entities.

Headquartered in California, Armis is rapidly growing and is seeking a pivotal leader for the technical integration and adoption of AI within the company.

Role Overview

The AI System Engineer will introduce and integrate advanced AI tools to drive operational efficiency, enhance employee productivity, and scale operations. The candidate will work with the global IT & Security team, closely coordinating with various departments, especially the Office of CISO and the AI Council.

What You'll Do

• Lead the technical integration of AI into the existing tech stack.
• Partner with AI Champions and department leaders for effective deployment.
• Drive delivery velocity by providing system expertise and reducing processing times.
• Provide continuous support and monitoring of AI adoption across the company.
• Act as a central interface for coordinated efforts on AI implementation.
• Implement security-by-design and least privilege principles in all AI systems.
• Collaborate with the AI Council to refine strategic alignment with business objectives.
• Research and recommend new AI tools and technologies.
• Develop training programs and documentation for broad AI adoption.

What We Expect

• 3+ years experience as a System Engineer, Automation Engineer, or similar role.
• B.Sc. in Computer Science, Information Systems, or related technical field.
• 2+ years supporting AI/ML platforms or data-driven systems.
• 2+ years experience with major cloud platforms (AWS, GCP, or Azure).
• Proficiency in scripting and automation with Python, JavaScript, Go, and Bash.
• Experience in system integration and maintenance of enterprise applications.
• Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Understanding of model lifecycle management including deployment, monitoring, and retraining.
• Strong cross-functional problem-solving abilities.
• Experience in delivering training sessions and creating user guides.

Preferred Skills

• Advanced experience with AWS Bedrock for enterprise generative AI integrations.
• Experience with MLOps platforms including MLflow, Kubeflow, or SageMaker.
• Experience in developing automated data pipelines using Airflow, Prefect, ETL, or APIs.
• Strong background in automation frameworks like Terraform or Ansible.
• Experience in enabling large-scale organizational AI adoption including training and documentation.
• Exposure to LLMOps and vector databases such as Pinecone, Weaviate, or Milvus.
• Knowledge of AI system security and compliance best practices.
• Familiarity with Enterprise AI Platform solutions.

Benefits

Armis values work-life balance, offering comprehensive health benefits, discretionary time off, paid holidays with monthly me days, and fostering an inclusive and diverse work environment.

Key skills/competency

• AI Integration
• System Engineering
• Cloud Platforms
• Automation
• Security
• Scripting
• Training
• Documentation
• AI/ML Frameworks
• Data Pipelines