Artificial Intelligence Engineer

Creating Peace of Mind by Pioneering Safety and Security

At Allegion, we help keep the people you know and love safe and secure where they live, work and visit. With more than 30 brands, 12,000+ employees globally and products sold in 130 countries, we specialize in security around the doorway and beyond. Additionally, in 2024 we were awarded the Gallup Exceptional Workplace Award, which recognizes the most engaged workplace cultures in the world.

We are seeking an Applied AI Engineer with strong software engineering skills and demonstrated experience building and operating production generative AI systems. You will lead the design and implementation of AI-native architectures, create scalable APIs and web services, and drive best practices for deploying secure, observable AI solutions that deliver measurable business value.

Hybrid:

At Allegion, we are driven by a bold vision: redefining safety while empowering our employees to thrive. When you join our team, you become part of a culture that values innovation, purpose, and excellence.

This role offers the benefits of our dynamic hybrid work model-combining in-person collaboration for meaningful moments with the flexibility of remote work. Since hybrid arrangements can vary based on the needs of the individual, team and business, your talent acquisition partner will provide specific hybrid details about this role.

We are committed to fostering a healthy work-life balance and building meaningful connections, ensuring you have the tools, resources, and support needed to excel in any environment. Together, we'll unlock your potential and create a lasting impact.

While this is the current structure and we currently have no plans to change, we reserve the right to make changes to the hybrid schedule as needed at the Company's discretion.

Qualified candidates must be legally authorized to be employed in the United States. The company does not intend to provide sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this employment position.

What You Will Do

* Design and develop production-ready AI applications integrating LLMs and generative models, making key technical decisions on system design and tooling

* Lead implementation of AI context engineering strategies and AI agent architectures

* Own end-to-end delivery of CI/CD pipelines, automated testing frameworks, and deployment workflows for model artifacts and services

* Drive reliability and observability standards: define monitoring, alerting, and logging strategies; lead incident triage and root-cause analysis for AI services

* Collaborate cross-functionally with product, data engineering, and platform teams to integrate AI solutions into existing workflows and feature pipelines

* Contribute to team standards, code reviews, and technical documentation

* Produce and maintain clear documentation, reproducible experiments, and reusable code to support long-term maintainability and knowledge sharing

What You Need to Succeed

* 3+ years of software engineering experience, with 1+ years focused on AI/ML systems in production environments

* Strong Python expertise; proficiency with JavaScript/Type Script for frontend or service integration

* Proven experience designing, deploying, and maintaining RESTful APIs and web services at scale

* Hands-on experience with cloud platforms (Azure preferred; AWS or GCP acceptable)

* Demonstrated experience with production support: monitoring, triage, incident response, and post-mortem analysis

* Strong problem-solving, communication, and collaboration skills; experience working with and influencing cross-functional teams

* Track record of independently driving projects from concept through production deployment

Preferred Skills & Technologies

* Experience building generative AI solutions (LLMs, RAG architectures, vector databases such as Azure AI Search)

* Experience with FastAPI, React, and Azure Cosmos DB or similar technology stacks

* Familiarity with Infrastructure as Code (Terraform, Bicep, ARM) and CI/CD tools (Git Hub Actions, Azure Dev Ops)

* Experience with automated testing of ML pipelines, model governance, and MLOps best practices

* Experience mentoring team members…