Senior AI Operations Engineer

Role Overview

The Senior AI Operations Engineer will be responsible for creating and maintaining a secure and efficient AI platform for Allegion, a global leader in security and access solutions. The role will involve operating and maintaining enterprise AI platforms and services, deploying and operationalizing AI workloads, and ensuring platform availability and performance.

What You Will Do

The Senior AI Operations Engineer will be responsible for operating and maintaining enterprise AI platforms and services, deploying and operationalizing AI workloads, and ensuring platform availability and performance. The role will also involve troubleshooting deployment and integration issues, monitoring and analyzing operational metrics, and recommending reliability and cost optimization improvements.

Why It Might Be a Fit

The ideal candidate will have strong hands-on experience with Microsoft Azure cloud services and production cloud operations, as well as experience operating AI, Machine Learning, or Generative AI platforms in controlled production environments. The candidate will also have strong troubleshooting, analytical thinking, and root cause analysis capabilities, as well as the ability to work independently in an individual contributor capacity.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related STEM discipline, or equivalent practical experience
• 8+ years of experience in Cloud Platform Engineering, Infrastructure Engineering, DevOps, Platform Operations, SRE, MLOps, or AI Operations
• Hands-on experience supporting Microsoft Azure-based enterprise environments and production workloads
• Experience operating AI, Machine Learning, or Generative AI platforms in controlled production environments
• Strong hands-on experience with Microsoft Azure cloud services and production cloud operations
• Experience with Azure OpenAI, Azure AI Foundry, Azure Machine Learning, and related Azure AI platform services
• Experience with containerized workloads using Docker, and working knowledge of Kubernetes sufficient to operate and build toward a production cluster platform
• Strong understanding of cloud networking, private endpoints, DNS, NSGs, load balancing, and secure platform architecture
• Experience with Infrastructure as Code, preferably Terraform, including reusable modules, remote state, and automated environment provisioning
• Experience with Azure DevOps or GitHub Actions for CI/CD pipeline design, release management, and deployment automation
• Automation and scripting proficiency in Python, and at least one of Bash or PowerShell
• Strong Linux, identity and access management, secret management, API, and Git skills
• Knowledge of monitoring, observability, logging, alerting, incident management, and root cause analysis
• Understanding of the AI/ML operational lifecycle, model and service deployment, runtime support, and platform management
• Working knowledge of generative AI components including prompt and model versioning, agents, RAG, vector stores, evaluations, groundedness, and content safety controls
• Familiarity with AI governance, responsible AI, privacy, security, and compliance best practices

Benefits

• Collaborative and inclusive work environment
• Flexible work arrangements
• Adoption assistance
• Employee discounts on Allegion products and services
• Free parking and transportation reimbursement
• Free meals and snacks
• Employee recognition and reward programs
• Employee resource groups
• Paid volunteer time off